├── exp
    └── test
    │   ├── run.err
    │   ├── run.sh
    │   ├── run_noatt.out
    │   └── run.out
├── models.py
├── _scratch
    ├── notes2.txt
    ├── notes.txt
    └── metacomp.py
├── vocab.py
├── hlog.py
├── .gitignore
├── grammar.py
├── seq.py
├── metacomp.py
└── cp.py


/exp/test/run.err:
--------------------------------------------------------------------------------
1 | 


--------------------------------------------------------------------------------
/models.py:
--------------------------------------------------------------------------------
1 | import numpy as np
2 | import torch
3 | from torch import nn, optim
4 | import torch.utils.data as torch_data
5 | 


--------------------------------------------------------------------------------
/_scratch/notes2.txt:
--------------------------------------------------------------------------------
1 | learn to:
2 |   retrieve mini training examples
3 |   generate translations "nonparametrically"
4 |   by interacting with K--V store
5 | 


--------------------------------------------------------------------------------
/exp/test/run.sh:
--------------------------------------------------------------------------------
1 | #!/bin/bash
2 | 
3 | #export PYTHONPATH='../..:../../lib/fairseq'
4 | 
5 | python -u ../../metacomp.py \
6 |   > run_noatt.out \
7 |   2> run.err
8 | 


--------------------------------------------------------------------------------
/_scratch/notes.txt:
--------------------------------------------------------------------------------
 1 | multitask training
 2 |   joint
 3 |   pre-train then fine-tune
 4 | 
 5 | posterior regularization
 6 |   input length correlated with output length
 7 |   input reconstructable from output
 8 |   minimize collisions
 9 | 
10 |   primitive: imagine recombining slices of input sequences
11 |     on training sequences: likelihood
12 |     on synthesized sequences: reconstruct input from output
13 | 
14 | model structure
15 |   start with a phrase table / learn glue with copying
16 | 


--------------------------------------------------------------------------------
/vocab.py:
--------------------------------------------------------------------------------
 1 | class Vocab(object):
 2 |     PAD = '<pad>'
 3 |     SOS = '<s>'
 4 |     EOS = '</s>'
 5 | 
 6 |     def __init__(self):
 7 |         self._contents = {}
 8 |         self._rev_contents = {}
 9 |         self.add(self.PAD)
10 |         self.add(self.SOS)
11 |         self.add(self.EOS)
12 | 
13 |     def add(self, sym):
14 |         if sym not in self._contents:
15 |             i = len(self._contents)
16 |             self._contents[sym] = i
17 |             self._rev_contents[i] = sym
18 |         return self._contents[sym]
19 | 
20 |     def __getitem__(self, sym):
21 |         return self._contents[sym]
22 | 
23 |     def __len__(self):
24 |         return len(self._contents)
25 | 
26 |     def encode(self, seq):
27 |         return [self.sos()] + [self[i] for i in seq] + [self.eos()]
28 | 
29 |     def decode(self, seq):
30 |         return ''.join(self._rev_contents[i] for i in seq)
31 | 
32 |     def pad(self):
33 |         return self._contents[self.PAD]
34 | 
35 |     def sos(self):
36 |         return self._contents[self.SOS]
37 | 
38 |     def eos(self):
39 |         return self._contents[self.EOS]
40 | 


--------------------------------------------------------------------------------
/hlog.py:
--------------------------------------------------------------------------------
 1 | from contextlib import contextmanager
 2 | import logging
 3 | import threading
 4 | import time
 5 | 
 6 | state = threading.local()
 7 | state.path = []
 8 | 
 9 | @contextmanager
10 | def task(name, timer=True):
11 |     state.path.append(name)
12 |     begin = time.time()
13 |     yield
14 |     end = time.time()
15 |     if timer:
16 |         print('%s{%0.2fs}' % ('/'.join(state.path), end - begin))
17 |     state.path.pop()
18 | 
19 | def group(name):
20 |     return task(name, timer=False)
21 | 
22 | def log(value):
23 |     if isinstance(value, float):
24 |         value = "%0.4f" % value
25 |     print('%s %s' % ('/'.join(state.path), value))
26 | 
27 | def value(name, value):
28 |     with task(name, timer=False):
29 |         log(value)
30 | 
31 | def loop(template, coll=None, counter=None, timer=True):
32 |     assert not (coll is None and counter is None)
33 |     if coll is None:
34 |         seq = zip(counter, counter)
35 |     elif counter is None:
36 |         seq = enumerate(coll)
37 |     else:
38 |         assert len(counter) == len(coll)
39 |         seq = zip(counter, coll)
40 |     for i, item in seq:
41 |         with task(template % i, timer):
42 |             yield item
43 | 
44 | def fn(name, timer=True):
45 |     def wrap(underlying):
46 |         def wrapped(*args, **kwargs):
47 |             with task(name, timer):
48 |                 result = underlying(*args, **kwargs)
49 |             return result
50 |         return wrapped
51 |     return wrap
52 | 


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
  1 | # Byte-compiled / optimized / DLL files
  2 | __pycache__/
  3 | *.py[cod]
  4 | *$py.class
  5 | 
  6 | # C extensions
  7 | *.so
  8 | 
  9 | # Distribution / packaging
 10 | .Python
 11 | build/
 12 | develop-eggs/
 13 | dist/
 14 | downloads/
 15 | eggs/
 16 | .eggs/
 17 | lib/
 18 | lib64/
 19 | parts/
 20 | sdist/
 21 | var/
 22 | wheels/
 23 | *.egg-info/
 24 | .installed.cfg
 25 | *.egg
 26 | MANIFEST
 27 | 
 28 | # PyInstaller
 29 | #  Usually these files are written by a python script from a template
 30 | #  before PyInstaller builds the exe, so as to inject date/other infos into it.
 31 | *.manifest
 32 | *.spec
 33 | 
 34 | # Installer logs
 35 | pip-log.txt
 36 | pip-delete-this-directory.txt
 37 | 
 38 | # Unit test / coverage reports
 39 | htmlcov/
 40 | .tox/
 41 | .coverage
 42 | .coverage.*
 43 | .cache
 44 | nosetests.xml
 45 | coverage.xml
 46 | *.cover
 47 | .hypothesis/
 48 | .pytest_cache/
 49 | 
 50 | # Translations
 51 | *.mo
 52 | *.pot
 53 | 
 54 | # Django stuff:
 55 | *.log
 56 | local_settings.py
 57 | db.sqlite3
 58 | 
 59 | # Flask stuff:
 60 | instance/
 61 | .webassets-cache
 62 | 
 63 | # Scrapy stuff:
 64 | .scrapy
 65 | 
 66 | # Sphinx documentation
 67 | docs/_build/
 68 | 
 69 | # PyBuilder
 70 | target/
 71 | 
 72 | # Jupyter Notebook
 73 | .ipynb_checkpoints
 74 | 
 75 | # pyenv
 76 | .python-version
 77 | 
 78 | # celery beat schedule file
 79 | celerybeat-schedule
 80 | 
 81 | # SageMath parsed files
 82 | *.sage.py
 83 | 
 84 | # Environments
 85 | .env
 86 | .venv
 87 | env/
 88 | venv/
 89 | ENV/
 90 | env.bak/
 91 | venv.bak/
 92 | 
 93 | # Spyder project settings
 94 | .spyderproject
 95 | .spyproject
 96 | 
 97 | # Rope project settings
 98 | .ropeproject
 99 | 
100 | # mkdocs documentation
101 | /site
102 | 
103 | # mypy
104 | .mypy_cache/
105 | 
106 | *.swp
107 | 


--------------------------------------------------------------------------------
/grammar.py:
--------------------------------------------------------------------------------
  1 | from collections import namedtuple
  2 | import numpy as np
  3 | 
  4 | NTRule = namedtuple('NTRule', ['lhs', 'rhs', 'i_e', 'i_f'])
  5 | TRule = namedtuple('TRule', ['lhs', 'rhs_e', 'rhs_f'])
  6 | class Grammar(object):
  7 |     def __init__(self, root, rules):
  8 |         self.root = root
  9 |         self.rules = rules
 10 | 
 11 |     def sample(self, lhs=None):
 12 |         if lhs is None:
 13 |             lhs = self.root
 14 |         rules = self.rules[lhs]
 15 |         rule = rules[np.random.randint(len(rules))]
 16 |         if isinstance(rule, TRule):
 17 |             return (rule.rhs_e,), (rule.rhs_f,)
 18 |         elif isinstance(rule, NTRule):
 19 |             produced = [self.sample(s) for s in rule.rhs]
 20 |             e = sum([produced[i][0] for i in rule.i_e], ())
 21 |             f = sum([produced[i][1] for i in rule.i_f], ())
 22 |             return e, f
 23 | 
 24 |     def prune(self):
 25 |         visited = {nt: False for nt in self.rules.keys()}
 26 |         generates = {
 27 |             nt: any(isinstance(r, TRule) for r in rr) 
 28 |             for nt, rr in self.rules.items()
 29 |         }
 30 |         keep_rules = {}
 31 |         def check(nt):
 32 |             if visited[nt]:
 33 |                 return generates[nt]
 34 |             visited[nt] = True
 35 |             usable = [
 36 |                 r for r in self.rules[nt]
 37 |                 if isinstance(r, TRule) or all(check(n) for n in r.rhs)
 38 |             ]
 39 |             generates[nt] = generates[nt] or len(usable) > 0
 40 |             keep_rules[nt] = usable
 41 |             return generates[nt]
 42 | 
 43 |         check(self.root)
 44 |         keep_rules = {
 45 |             nt: rr 
 46 |             for nt, rr in keep_rules.items()
 47 |             if visited[nt] and generates[nt]
 48 |         }
 49 |         return Grammar(self.root, keep_rules)
 50 | 
 51 | class GrammarBuilder(object):
 52 |     def symbols(self, n_t):
 53 |         return [chr(ord('a') + i) for i in range(n_t)]
 54 | 
 55 |     def _try_sample(self, n_nt, n_t, n_nt_rules, n_t_rules):
 56 |         assert n_nt > 1
 57 |         assert n_t > 1
 58 |         nt_names = [chr(ord('A') + i) for i in range(n_nt)]
 59 |         t_e_names = [chr(ord('a') + i) for i in range(n_t)]
 60 |         t_f_names = [chr(ord('a') + i) for i in range(n_t)]
 61 |         np.random.shuffle(t_f_names)
 62 |         #t_e_names = list(range(n_t))
 63 |         #t_f_names = list(range(n_t))
 64 | 
 65 |         i_e = (0, 1)
 66 |         i_f = (0, 1) if np.random.randint(2) == 0 else (1, 0)
 67 | 
 68 |         nt_rules = []
 69 |         for _ in range(n_nt_rules):
 70 |             lhs = np.random.randint(n_nt - 1)
 71 |             rhs1 = lhs + 1 + np.random.randint(n_nt - lhs - 1)
 72 |             rhs2 = lhs + 1 + np.random.randint(n_nt - lhs - 1)
 73 |             nt_rules.append(NTRule(
 74 |                 nt_names[lhs],
 75 |                 (nt_names[rhs1], nt_names[rhs2]),
 76 |                 i_e,
 77 |                 i_f
 78 |             ))
 79 | 
 80 |         t_rules = []
 81 |         for _ in range(n_t_rules):
 82 |             lhs = np.random.randint(n_nt)
 83 |             rhs = np.random.randint(n_t)
 84 |             t_rules.append(TRule(
 85 |                 nt_names[lhs],
 86 |                 t_e_names[rhs],
 87 |                 t_f_names[rhs]
 88 |             ))
 89 | 
 90 |         rules = {nt: [] for nt in nt_names}
 91 |         for rule in nt_rules:
 92 |             rules[rule.lhs].append(rule)
 93 |         for rule in t_rules:
 94 |             rules[rule.lhs].append(rule)
 95 | 
 96 |         grammar = Grammar(nt_names[0], rules)
 97 |         grammar = grammar.prune()
 98 |         if len(grammar.rules) == 0 or grammar.root not in grammar.rules:
 99 |             raise RuntimeError('sampled a bad grammar')
100 |         return grammar
101 | 
102 |     def sample(self, n_nt, n_t, n_nt_rules, n_t_rules):
103 |         counter = 0
104 |         while counter < 100:
105 |             try:
106 |                 return self._try_sample(n_nt, n_t, n_nt_rules, n_t_rules)
107 |             except RuntimeError as e:
108 |                 counter += 1
109 |         raise RuntimeError(
110 |             "Couldn't generate a good grammar in 100 attempts - try adjusting "
111 |             "sampler parameters"
112 |         )
113 | 


--------------------------------------------------------------------------------
/seq.py:
--------------------------------------------------------------------------------
  1 | import torch
  2 | from torch import nn
  3 | import torch.nn.functional as F
  4 | 
  5 | class Encoder(nn.Module):
  6 |     def __init__(self, vocab, n_embed, n_hidden, n_layers, bidirectional=True):
  7 |         super().__init__()
  8 |         self.vocab = vocab
  9 |         self.embed = nn.Embedding(len(vocab), n_embed, vocab.pad())
 10 |         self.rnn = nn.LSTM(
 11 |             n_embed,
 12 |             n_hidden,
 13 |             n_layers,
 14 |             bidirectional=bidirectional,
 15 |             batch_first=True
 16 |         )
 17 | 
 18 |     def forward(self, data):
 19 |         emb = self.embed(data)
 20 |         out, state = self.rnn(emb)
 21 |         return out, state
 22 | 
 23 | class Decoder(nn.Module):
 24 |     def __init__(self, vocab):
 25 |         super().__init__()
 26 |         self.vocab = vocab
 27 | 
 28 |     # TODO
 29 |     def decode(self, context, state, device):
 30 |         n_batch = state[0].shape[1]
 31 |         data = torch.tensor([[self.vocab.sos()] for _ in range(n_batch)]).to(device)
 32 |         out = [[] for _ in range(n_batch)]
 33 |         hiddens = [[] for _ in range(n_batch)]
 34 |         for t in range(20):
 35 |             pred, state = self(context, data, state)
 36 |             best = pred.squeeze(1).argmax(dim=1)
 37 |             for i in range(n_batch):
 38 |                 out[i].append(int(best[i].data))
 39 |                 hiddens[i].append(state[0][:, i, :])
 40 |             data = best.unsqueeze(1)
 41 |         final = []
 42 |         final_hiddens = []
 43 |         for o, h in zip(out, hiddens):
 44 |             try:
 45 |                 end = o.index(self.vocab.eos())
 46 |                 final.append(o[:end])
 47 |                 final_hiddens.append(h[:end])
 48 |             except ValueError:
 49 |                 final.append(o)
 50 |                 final_hiddens.append(h)
 51 |         return final, final_hiddens
 52 | 
 53 |     def forward(self, context, data, state):
 54 |         n_batch, n_seq = data.shape
 55 |         preds = []
 56 |         for t in range(n_seq):
 57 |             pred, state = self.step(context, data[:, t], state)
 58 |             preds.append(pred)
 59 |         preds = torch.stack(preds, dim=1)
 60 |         return preds, state
 61 | 
 62 | class SimpleDecoder(Decoder):
 63 |     def __init__(self, vocab, n_embed, n_hidden, n_layers):
 64 |         super().__init__(vocab)
 65 |         self.embed = nn.Embedding(len(vocab), n_embed, vocab.pad())
 66 |         self.rnn = nn.LSTM(
 67 |             n_embed,
 68 |             n_hidden,
 69 |             n_layers,
 70 |             batch_first=True
 71 |         )
 72 |         self.predict = nn.Linear(n_hidden, len(vocab))
 73 | 
 74 |     def step(self, context, data, state):
 75 |         emb = self.embed(data)
 76 |         out, state = self.rnn(emb.unsqueeze(1), state)
 77 |         pred = self.predict(out).squeeze(1)
 78 |         return pred, state
 79 | 
 80 |     #def forward(self, data, state):
 81 |     #    emb = self.embed(data)
 82 |     #    out, state = self.rnn(emb, state)
 83 |     #    pred = self.predict(out)
 84 |     #    return pred, state
 85 | 
 86 | class AttDecoder(Decoder):
 87 |     def __init__(self, vocab, n_embed, n_ctx, n_hidden, n_layers):
 88 |         super().__init__(vocab)
 89 |         # TODO the Luong way
 90 |         self.att_key = nn.Linear(n_ctx, n_hidden)
 91 |         self.att_val = nn.Linear(n_ctx, n_hidden)
 92 |         self.embed = nn.Embedding(len(vocab), n_embed, vocab.pad())
 93 |         self.rnn = nn.LSTM(
 94 |             n_embed + n_hidden,
 95 |             n_hidden,
 96 |             n_layers,
 97 |             batch_first=True
 98 |         )
 99 |         self.predict = nn.Linear(n_hidden, len(vocab))
100 | 
101 |     def step(self, context, data, state):
102 |         hid, _ = state
103 |         key = self.att_key(context)
104 |         hid = hid.squeeze(0).unsqueeze(1).expand_as(key)
105 |         att = F.softmax((key * hid).sum(dim=2), 1)
106 |         pooled = (context * att.unsqueeze(2).expand_as(context)).sum(dim=1)
107 | 
108 |         val = self.att_val(pooled)
109 |         emb = self.embed(data)
110 |         feats = torch.cat((emb, val), dim=1)
111 | 
112 |         out, state = self.rnn(feats.unsqueeze(1), state)
113 |         pred = self.predict(out).squeeze(1)
114 |         return pred, state
115 | 


--------------------------------------------------------------------------------
/_scratch/metacomp.py:
--------------------------------------------------------------------------------
  1 | #!/usr/bin/env python3
  2 | 
  3 | from collections import namedtuple
  4 | import numpy as np
  5 | import torch
  6 | from torch import nn, optim
  7 | from torch.autograd import Variable
  8 | 
  9 | VOCAB_SIZE = 2
 10 | START = 1
 11 | STOP = 2
 12 | FULL_VOCAB_SIZE = VOCAB_SIZE + 3
 13 | #TRAIN_LENS = [i for i in range(20) if i % 2 == 0]
 14 | #TEST_LENS = [i for i in range(20) if i % 2 == 1]
 15 | TRAIN_LENS = [i for i in range(5)]
 16 | TEST_LENS = [i for i in range(5, 10)]
 17 | LENS = list(TRAIN_LENS) + list(TEST_LENS)
 18 | MAX_LEN = max(LENS) + 1 + 2
 19 | 
 20 | N_EMBED = 64
 21 | N_HIDDEN = 256
 22 | 
 23 | Batch = namedtuple('Batch', 'e_seq f_seq e_obs f_obs f_tgt')
 24 | 
 25 | def unwrap(var):
 26 |     return var.data.cpu().numpy()
 27 | 
 28 | def sample_copy(n, test=False):
 29 |     lens = TEST_LENS if test else TRAIN_LENS
 30 |     data = np.random.randint(VOCAB_SIZE, size=(n, MAX_LEN)) + 3
 31 |     seq = [[] for _ in range(n)]
 32 |     obs = np.zeros((MAX_LEN, n, FULL_VOCAB_SIZE))
 33 |     tgt = np.zeros((MAX_LEN, n), dtype=np.int64)
 34 |     for i in range(n):
 35 |         seq[i].append(START)
 36 |         obs[0, i, START] = 1
 37 |         l = np.random.choice(lens)
 38 |         last = l + 2
 39 |         for j in range(1, last):
 40 |             seq[i].append(data[i, j])
 41 |             obs[j, i, data[i, j]] = 1
 42 |             tgt[j-1, i] = data[i, j]
 43 |         obs[last, i, STOP] = 1
 44 |         tgt[last-1, i] = STOP
 45 |         seq[i].append(STOP)
 46 | 
 47 |     obs = Variable(torch.FloatTensor(obs))
 48 |     tgt = Variable(torch.LongTensor(tgt))
 49 |     return Batch(seq, seq, obs, obs, tgt)
 50 | 
 51 | class Decoder(nn.Module):
 52 |     def __init__(self):
 53 |         emb = N_EMBED
 54 |         hid = N_HIDDEN
 55 |         super().__init__()
 56 |         self._embed = nn.Linear(FULL_VOCAB_SIZE, emb)
 57 |         self._rnn = nn.GRU(input_size=emb, hidden_size=hid, num_layers=1)
 58 |         self._predict = nn.Linear(hid, FULL_VOCAB_SIZE)
 59 |         self._softmax = nn.Softmax(dim=1)
 60 | 
 61 |     def forward(self, state, inp):
 62 |         emb = self._embed(inp)
 63 |         rep, enc = self._rnn(emb, state)
 64 |         logits = self._predict(rep)
 65 |         return enc, logits
 66 | 
 67 |     def decode(self, init_state, max_len, sample=False):
 68 |         n_stack, n_batch, _ = init_state.shape
 69 |         out = [[START] for _ in range(n_batch)]
 70 |         tok_inp = [START for _ in range(n_batch)]
 71 |         done = [False for _ in range(n_batch)]
 72 |         state = init_state
 73 |         for _ in range(max_len):
 74 |             hot_inp = np.zeros((1, n_batch, FULL_VOCAB_SIZE))
 75 |             for i, t in enumerate(tok_inp):
 76 |                 hot_inp[0, i, t] = 1
 77 |             hot_inp = Variable(torch.FloatTensor(hot_inp))
 78 |             if init_state.is_cuda:
 79 |                 hot_inp = hot_inp.cuda()
 80 |             new_state, label_logits = self(state, hot_inp)
 81 |             label_logits = label_logits.squeeze(0)
 82 |             label_probs = unwrap(self._softmax(label_logits))
 83 |             new_tok_inp = []
 84 |             for i, row in enumerate(label_probs):
 85 |                 if sample:
 86 |                     tok = np.random.choice(row.size, p=row)
 87 |                 else:
 88 |                     tok = row.argmax()
 89 |                 new_tok_inp.append(tok)
 90 |                 if not done[i]:
 91 |                     out[i].append(tok)
 92 |                 done[i] = done[i] or tok == STOP
 93 |             state = new_state
 94 |             tok_inp = new_tok_inp
 95 |             if all(done):
 96 |                 break
 97 |         return out
 98 | 
 99 | class Encoder(nn.Module):
100 |     def __init__(self):
101 |         super().__init__()
102 |         self._embed = nn.Linear(FULL_VOCAB_SIZE, N_EMBED)
103 |         self._rnn = nn.GRU(input_size=N_EMBED, hidden_size=N_HIDDEN, num_layers=1)
104 | 
105 |     def forward(self, obs):
106 |         emb = self._embed(obs)
107 |         _, enc = self._rnn(emb)
108 |         return enc
109 | 
110 | class Model(nn.Module):
111 |     def __init__(self):
112 |         super().__init__()
113 |         self.encoder = Encoder()
114 |         self.decoder = Decoder()
115 |         self.loss = nn.CrossEntropyLoss()
116 | 
117 |     def forward(self, batch):
118 |         enc = self.encoder(batch.e_obs)
119 |         _, dec = self.decoder(enc, batch.f_obs)
120 |         size_l, size_n, size_v = dec.shape
121 |         dec = dec.view(size_l * size_n, size_v)
122 |         tgt = batch.f_tgt.view(size_l * size_n)
123 |         loss = self.loss(dec, tgt)
124 |         return loss
125 | 
126 |     def decode(self, batch):
127 |         enc = self.encoder(batch.e_obs)
128 |         dec = self.decoder.decode(enc, MAX_LEN)
129 |         return dec
130 | 
131 | def validate(model, batch):
132 |     pred = model.decode(batch)
133 |     score = 0
134 |     count = 0
135 |     for i, (f, pf) in enumerate(zip(batch.f_seq, pred)):
136 |         score += int(f == pf)
137 |         count += 1
138 |         if i < 3:
139 |             print(f[1:-1])
140 |             print(pf[1:-1])
141 |             print()
142 |     print(1. * score / count)
143 |     print()
144 | 
145 | def main():
146 |     model = Model()
147 |     opt = optim.Adam(model.parameters(), 1e-3)
148 |     for i in range(100):
149 |         l = 0.
150 |         for j in range(10):
151 |             batch = sample_copy(100)
152 |             loss = model(batch)
153 |             opt.zero_grad()
154 |             loss.backward()
155 |             opt.step()
156 |             ll, = unwrap(loss)
157 |             l += ll
158 | 
159 |         print(l)
160 |         validate(model, sample_copy(100))
161 |         validate(model, sample_copy(100, test=True))
162 |         print()
163 |         
164 | 
165 | main()
166 | 


--------------------------------------------------------------------------------
/metacomp.py:
--------------------------------------------------------------------------------
  1 | #!/usr/bin/env python3
  2 | 
  3 | from grammar import GrammarBuilder
  4 | import hlog
  5 | from seq import Encoder, SimpleDecoder, AttDecoder
  6 | from vocab import Vocab
  7 | 
  8 | import numpy as np
  9 | import torch
 10 | from torch import nn, optim
 11 | import torch.utils.data as torch_data
 12 | 
 13 | DEVICE=torch.device('cuda:0')
 14 | 
 15 | BATCH_LANGS = 50
 16 | BATCH_EXAMPLES = 5
 17 | N_NT = 5
 18 | N_T = 10
 19 | N_NT_RULES = 20
 20 | N_T_RULES = 5
 21 | 
 22 | N_EMB = 64
 23 | N_HID = 512
 24 | N_LAYERS = 1
 25 | 
 26 | START = '<'
 27 | MID = '|'
 28 | END = '>'
 29 | 
 30 | class Dataset(torch_data.Dataset):
 31 |     def __init__(self):
 32 |         self._gb = GrammarBuilder()
 33 |         self.vocab = Vocab()
 34 |         self.start = self.vocab.add(START)
 35 |         self.mid = self.vocab.add(MID)
 36 |         self.end = self.vocab.add(END)
 37 |         for s in self._gb.symbols(N_T):
 38 |             self.vocab.add(s)
 39 | 
 40 |     def __len__(self):
 41 |         return 10 * BATCH_LANGS
 42 | 
 43 |     def __getitem__(self, i):
 44 |         grammar = self._gb.sample(N_NT, N_T, N_NT_RULES, N_T_RULES)
 45 |         samples = list(set(grammar.sample() for _ in range(2 * BATCH_EXAMPLES)))
 46 |         samples = [
 47 |             (self.vocab.encode(e), self.vocab.encode(f))
 48 |             for e, f in samples
 49 |         ]
 50 |         if len(samples) == 1:
 51 |             samples = samples + samples
 52 |         samp_in = samples[1:BATCH_EXAMPLES+1]
 53 |         samp_out = samples[0]
 54 |         while len(samp_in) < BATCH_EXAMPLES:
 55 |             samp_in += samples[1:BATCH_EXAMPLES-len(samp_in)+1]
 56 | 
 57 |         in_stacked = []
 58 |         for e, f in samp_in:
 59 |             in_stacked += (
 60 |                 [self.start] + list(e) + [self.mid] + list(f) + [self.end]
 61 |             )
 62 |         out_e, out_f = samp_out
 63 | 
 64 |         return in_stacked, out_e, out_f
 65 | 
 66 |     def collate(self, samples):
 67 |         n_batch = len(samples)
 68 |         pad = self.vocab.pad()
 69 |         ex, out_e, out_f = zip(*samples)
 70 | 
 71 |         ex_data = np.full(
 72 |             (n_batch, max(len(e) for e in ex)),
 73 |             pad,
 74 |             dtype=np.int64
 75 |         )
 76 |         out_e_data = np.full(
 77 |             (n_batch, max(len(o) for o in out_e)),
 78 |             pad,
 79 |             dtype=np.int64
 80 |         )
 81 |         out_f_data = np.full(
 82 |             (n_batch, max(len(o) for o in out_f)),
 83 |             pad,
 84 |             dtype=np.int64
 85 |         )
 86 | 
 87 |         for i in range(n_batch):
 88 |             ex_data[i, :len(ex[i])] = ex[i]
 89 |             out_e_data[i, :len(out_e[i])] = out_e[i]
 90 |             out_f_data[i, :len(out_f[i])] = out_f[i]
 91 | 
 92 |         return (
 93 |             torch.tensor(ex_data).to(DEVICE),
 94 |             torch.tensor(out_e_data).to(DEVICE),
 95 |             torch.tensor(out_f_data).to(DEVICE),
 96 |             [self.vocab.decode(o[1:-1]) for o in out_f]
 97 |         )
 98 | 
 99 | class Model(nn.Module):
100 |     def __init__(self, dataset, n_embed, n_hidden, n_layers):
101 |         super().__init__()
102 |         self.ex_encoder = Encoder(dataset.vocab, n_embed, n_hidden, n_layers)
103 |         self.out_encoder = Encoder(dataset.vocab, n_embed, n_hidden, n_layers)
104 |         self.out_decoder = SimpleDecoder(dataset.vocab, n_embed, n_hidden, n_layers)
105 | 
106 |     def _encode(self, ex, out_e):
107 |         enc_ex, state_ex = self.ex_encoder(ex)
108 |         enc_out, state_out = self.out_encoder(out_e)
109 | 
110 |         # TODO
111 |         state_h = (state_ex[0] + state_out[0]).sum(dim=0, keepdim=True)
112 |         state_c = (state_ex[1] + state_out[1]).sum(dim=0, keepdim=True)
113 | 
114 |         return enc_out, (state_h, state_c)
115 | 
116 |     def forward(self, ex, out_e, out_f):
117 |         context, state = self._encode(ex, out_e)
118 |         dec, _ = self.out_decoder(context, out_f, state)
119 |         return dec
120 | 
121 |     def decode(self, ex, out_e):
122 |         context, state = self._encode(ex, out_e)
123 |         return self.out_decoder.decode(context, state, DEVICE)
124 | 
125 | class Trainer(object):
126 |     def __init__(self, dataset, model):
127 |         model.to(DEVICE)
128 |         objective = nn.CrossEntropyLoss(ignore_index=dataset.vocab.pad()).to(DEVICE)
129 |         self.dataset = dataset
130 |         self.model = model
131 |         self.objective = objective
132 | 
133 |     @hlog.fn('train')
134 |     def train(self):
135 |         opt = optim.Adam(model.parameters(), lr=0.002)
136 |         sched = optim.lr_scheduler.ReduceLROnPlateau(
137 |             opt,
138 |             factor=0.5,
139 |             verbose=True
140 |         )
141 |         loader = torch_data.DataLoader(dataset, BATCH_LANGS, collate_fn=dataset.collate)
142 |         for i_epoch in hlog.loop('epoch_%03d', counter=range(1000)):
143 |             epoch_loss = 0
144 |             for ex, out_e, out_f, _ in loader:
145 |                 n_tgts = BATCH_LANGS * (out_f.shape[1] - 1)
146 |                 pred = self.model.forward(ex, out_e, out_f)[:, :-1, :]
147 |                 pred = pred.contiguous().view(n_tgts, len(self.dataset.vocab))
148 |                 tgt = out_f[:, 1:].contiguous().view(n_tgts)
149 |                 loss = self.objective(pred, tgt)
150 |                 opt.zero_grad()
151 |                 loss.backward()
152 |                 opt.step()
153 | 
154 |                 epoch_loss += float(loss)
155 | 
156 |                 #dec = self.model.decode(ex, out_e)
157 |                 #print(dec)
158 | 
159 |             hlog.value('loss', epoch_loss)
160 |             sched.step(epoch_loss)
161 |             
162 |             for ex, out_e, out_f, pp_f in loader:
163 |                 dec = self.model.decode(ex, out_e)
164 |                 dec = [self.dataset.vocab.decode(d) for d in dec]
165 |                 for d, p in list(zip(dec, pp_f))[:5]:
166 |                     hlog.value('ex', '%s %s' % (d, p))
167 |                 break
168 | 
169 | dataset = Dataset()
170 | model = Model(dataset, N_EMB, N_HID, N_LAYERS)
171 | trainer = Trainer(dataset, model)
172 | trainer.train()
173 | 


--------------------------------------------------------------------------------
/cp.py:
--------------------------------------------------------------------------------
  1 | #!/usr/bin/env python3
  2 | 
  3 | import hlog
  4 | from seq import Encoder, SimpleDecoder, AttDecoder
  5 | from vocab import Vocab
  6 | 
  7 | from collections import defaultdict, namedtuple
  8 | import numpy as np
  9 | from scipy import stats
 10 | import torch
 11 | from torch import nn, optim
 12 | import torch.utils.data as torch_data
 13 | 
 14 | DEVICE=torch.device('cuda:0')
 15 | 
 16 | N_SYMS = 5
 17 | N_EMB = 64
 18 | N_HID = 512
 19 | N_LAYERS = 1
 20 | 
 21 | BATCH_SIZE = 64
 22 | #TRAIN_LENS = list(range(1, 10))
 23 | #VAL_LENS = list(range(1, 10))
 24 | TRAIN_LENS = [3, 4, 5, 6, 12, 13]
 25 | VAL_LENS = [7, 8, 9, 10, 11]
 26 | 
 27 | 
 28 | class Dataset(torch_data.Dataset):
 29 |     def __init__(self, val=False):
 30 |         self.vocab = Vocab()
 31 |         self.syms = [chr(ord('a') + i) for i in range(N_SYMS)]
 32 |         for s in self.syms:
 33 |             self.vocab.add(s)
 34 |         self.val = val
 35 | 
 36 |     def __len__(self):
 37 |         return 10 * BATCH_SIZE
 38 | 
 39 |     def __getitem__(self, i):
 40 |         if self.val:
 41 |             seq_len = np.random.choice(VAL_LENS)
 42 |         else:
 43 |             seq_len = np.random.choice(TRAIN_LENS)
 44 |         seq = [np.random.choice(self.syms) for _ in range(seq_len)]
 45 |         return self.vocab.encode(seq)
 46 | 
 47 |     def collate(self, seqs):
 48 |         n_batch = len(seqs)
 49 |         pad = self.vocab.pad()
 50 |         data = np.full((n_batch, max(len(s) for s in seqs)), pad, dtype=np.int64)
 51 |         for i in range(n_batch):
 52 |             data[i, :len(seqs[i])] = seqs[i]
 53 |         return [s[1:-1] for s in seqs], torch.tensor(data).to(DEVICE)
 54 | 
 55 | class Model(nn.Module):
 56 |     def __init__(self, dataset, n_embed, n_hidden, n_layers):
 57 |         super().__init__()
 58 |         self.encoder = Encoder(dataset.vocab, n_embed, n_hidden, n_layers,
 59 |             bidirectional=False)
 60 |         self.decoder = AttDecoder(dataset.vocab, n_embed, n_hidden, n_hidden, n_layers)
 61 | 
 62 |     def forward(self, data):
 63 |         context, state = self.encoder(data)
 64 |         pred, _ = self.decoder(context, data, state)
 65 |         return pred
 66 | 
 67 |     def decode(self, data):
 68 |         context, state = self.encoder(data)
 69 |         dec, hiddens = self.decoder.decode(context, state, DEVICE)
 70 |         return dec, hiddens
 71 | 
 72 | #ActInfo = namedtuple('ActInfo', 'index seq counter completion')
 73 | 
 74 | def counter_fn(sign=1, normalize=None):
 75 |     def analyze(seq):
 76 |         if normalize == 'first':
 77 |             offset = seq[0]
 78 |         elif normalize == 'last':
 79 |             offset = seq[-1]
 80 |             seq = list(reversed(seq))
 81 |         else:
 82 |             offset = 0
 83 |         seq = [sign * (a - offset) for a in seq]
 84 |         indices = list(range(len(seq)))
 85 |         return indices, seq
 86 |     return analyze
 87 | 
 88 | def length_fn(sign=1):
 89 |     def analyze(seq):
 90 |         return [sign * len(seq)], [seq[0]]
 91 |     return analyze
 92 | 
 93 | ANALYZERS = {
 94 |     'count+': counter_fn(),
 95 |     'count-': counter_fn(sign=-1),
 96 |     'count+f': counter_fn(normalize='first'),
 97 |     'count-l': counter_fn(sign=-1, normalize='last'),
 98 |     'len+': length_fn(),
 99 |     'len-': length_fn(sign=-1)
100 | }
101 | 
102 | def analyze(hiddens):
103 |     n_a = N_HID * N_LAYERS
104 | 
105 |     ana_data = {k: defaultdict(lambda: ([], [])) for k in ANALYZERS}
106 | 
107 |     for i in range(len(hiddens)):
108 |         t = torch.stack(hiddens[i]).view(-1, n_a).t()
109 |         for i_a in range(n_a):
110 |             seq = t[i_a, :].detach().cpu().numpy().tolist()
111 |             for name, ana in ANALYZERS.items():
112 |                 x, y = ana(seq)
113 |                 xs, ys = ana_data[name][i_a]
114 |                 xs += x
115 |                 ys += y
116 | 
117 |     for name in ANALYZERS:
118 |         scores = {i_a: stats.pearsonr(*ana_data[name][i_a]) for i_a in range(n_a)}
119 |         i_a = max(scores, key=lambda i: scores[i][0])
120 |         print(name)
121 |         print(scores[i_a])
122 |         for hseq in hiddens[:10]:
123 |             t = torch.stack(hseq).view(-1, n_a).t()
124 |             seq = t[i_a, :].detach().cpu().numpy().tolist()
125 |             print(' '.join('%0.2f' % ss for ss in seq))
126 |         print()
127 | 
128 | 
129 |     #i_counter, counter_score = min(scores.items(), key=lambda x: x[1])
130 |     #print(i_counter, counter_score)
131 |     #print(max(scores.items(), key=lambda x: x[1]))
132 |     #for hseq in hiddens:
133 |     #    t = torch.stack(hseq).view(-1, n_a).t()
134 |     #    s = t[i_counter, :].detach().cpu().numpy().tolist()
135 |     #    print(' '.join('%0.3f' % ss for ss in s))
136 |     #    increments = [s[i] - s[i-1] for i in range(1, len(s))]
137 |     #    print(' '.join('%0.3f' % ss for ss in increments))
138 |     #    print()
139 |     ##print(seq_data[i_counter])
140 |     #print(counter_score)
141 |     #print()
142 | 
143 |     #print(max(comp_scores.items(), key=lambda x: x[1]))
144 |     #print(min(count_scores.items(), key=lambda x: x[1]))
145 |     #print(min(comp_scores.items(), key=lambda x: x[1]))
146 | 
147 | dataset = Dataset()
148 | val_dataset = Dataset(val=True)
149 | model = Model(dataset, N_EMB, N_HID, N_LAYERS).to(DEVICE)
150 | loader = torch_data.DataLoader(dataset, BATCH_SIZE, collate_fn=dataset.collate)
151 | val_loader = torch_data.DataLoader(val_dataset, BATCH_SIZE, collate_fn=dataset.collate)
152 | 
153 | obj = nn.CrossEntropyLoss(ignore_index=dataset.vocab.pad()).to(DEVICE)
154 | opt = optim.Adam(model.parameters(), lr=0.001)
155 | #sched = optim.lr_scheduler.ReduceLROnPlateau(
156 | #    opt, factor=0.5, verbose=True
157 | #)
158 | sched = optim.lr_scheduler.StepLR(
159 |     opt, step_size=10, gamma=0.1
160 | )
161 | for i_epoch in hlog.loop('%03d', counter=range(30)):
162 |     epoch_loss = 0
163 |     epoch_acc = 0
164 |     epoch_count = 0
165 |     for seqs, data in loader:
166 |         n_tgts = data.shape[0] * (data.shape[1] - 1)
167 |         pred = model(data)[:, :-1, :]
168 |         pred = pred.contiguous().view(n_tgts, len(dataset.vocab))
169 |         tgt = data[:, 1:].contiguous().view(n_tgts)
170 |         loss = obj(pred, tgt)
171 |         opt.zero_grad()
172 |         loss.backward()
173 |         opt.step()
174 |         epoch_loss += float(loss)
175 | 
176 |         dec, hiddens = model.decode(data)
177 |         acc = np.mean([d == s for d, s in zip(dec, seqs)])
178 |         epoch_acc += acc
179 |         epoch_count += 1
180 | 
181 |     analyze(hiddens)
182 | 
183 |     val_acc = 0
184 |     val_count = 0
185 |     for seqs, data in val_loader:
186 |         dec, hiddens = model.decode(data)
187 |         acc = np.mean([d == s for d, s in zip(dec, seqs)])
188 |         val_acc += acc
189 |         val_count += 1
190 | 
191 |     hlog.value('loss', epoch_loss / epoch_count)
192 |     hlog.value('acc', epoch_acc / epoch_count)
193 |     hlog.value('vacc', val_acc / val_count)
194 |     #sched.step(epoch_loss)
195 |     sched.step()
196 | 


--------------------------------------------------------------------------------
/exp/test/run_noatt.out:
--------------------------------------------------------------------------------
   1 | train/epoch_000/loss 21.8896
   2 | train/epoch_000/ex iii bc
   3 | train/epoch_000/ex hhhhhhhhhhh eeef
   4 | train/epoch_000/ex iii gb
   5 | train/epoch_000/ex bbbbbbbbbbbbbbbbbbbb cccccccc
   6 | train/epoch_000/ex hhhhhhhhhhhh aaa
   7 | train/epoch_000{1.30s}
   8 | train/epoch_001/loss 16.8406
   9 | train/epoch_001/ex jjjjjjjjj hhhhh
  10 | train/epoch_001/ex iiiiiiiiiiiiiiiiiiii hh
  11 | train/epoch_001/ex jjjjjjj iii
  12 | train/epoch_001/ex jjjjjjjj ddd
  13 | train/epoch_001/ex jjjjjjjj iiie
  14 | train/epoch_001{1.30s}
  15 | train/epoch_002/loss 15.1637
  16 | train/epoch_002/ex iiiiiiii ffcciffe
  17 | train/epoch_002/ex a d
  18 | train/epoch_002/ex j ib
  19 | train/epoch_002/ex fffffff djjddj
  20 | train/epoch_002/ex iii dcc
  21 | train/epoch_002{1.30s}
  22 | train/epoch_003/loss 13.7067
  23 | train/epoch_003/ex ddddddd fffcfcff
  24 | train/epoch_003/ex ggg hbg
  25 | train/epoch_003/ex dddddd hhhhhh
  26 | train/epoch_003/ex a f
  27 | train/epoch_003/ex dddd ffff
  28 | train/epoch_003{1.25s}
  29 | train/epoch_004/loss 13.5993
  30 | train/epoch_004/ex ffff eii
  31 | train/epoch_004/ex bbb di
  32 | train/epoch_004/ex fffff eeed
  33 | train/epoch_004/ex jjjjjjjj iiiiiii
  34 | train/epoch_004/ex ff db
  35 | train/epoch_004{1.29s}
  36 | train/epoch_005/loss 13.3177
  37 | train/epoch_005/ex hhhh fffff
  38 | train/epoch_005/ex i d
  39 | train/epoch_005/ex gg ddi
  40 | train/epoch_005/ex d g
  41 | train/epoch_005/ex gg ei
  42 | train/epoch_005{1.25s}
  43 | train/epoch_006/loss 13.0066
  44 | train/epoch_006/ex aa bb
  45 | train/epoch_006/ex ddddd hhhhh
  46 | train/epoch_006/ex hhhhhh fffff
  47 | train/epoch_006/ex ddddd gbibc
  48 | train/epoch_006/ex bbb ccb
  49 | train/epoch_006{1.28s}
  50 | train/epoch_007/loss 12.3043
  51 | train/epoch_007/ex d e
  52 | train/epoch_007/ex d d
  53 | train/epoch_007/ex hhh eef
  54 | train/epoch_007/ex hhh ddd
  55 | train/epoch_007/ex dd gb
  56 | train/epoch_007{1.25s}
  57 | train/epoch_008/loss 12.6044
  58 | train/epoch_008/ex eeeee fffff
  59 | train/epoch_008/ex eeeeee dddddd
  60 | train/epoch_008/ex iiiiiiiii ieiiieeii
  61 | train/epoch_008/ex ii ih
  62 | train/epoch_008/ex ii gi
  63 | train/epoch_008{1.29s}
  64 | train/epoch_009/loss 12.4201
  65 | train/epoch_009/ex aaaa eaee
  66 | train/epoch_009/ex cc if
  67 | train/epoch_009/ex ccc ddd
  68 | train/epoch_009/ex aaa gge
  69 | train/epoch_009/ex iiiiii eeeeee
  70 | train/epoch_009{1.25s}
  71 | train/epoch_010/loss 12.1638
  72 | train/epoch_010/ex aa jj
  73 | train/epoch_010/ex iiiiiii ggggggg
  74 | train/epoch_010/ex cc ee
  75 | train/epoch_010/ex dddddd gggggg
  76 | train/epoch_010/ex i i
  77 | train/epoch_010{1.29s}
  78 | train/epoch_011/loss 12.1983
  79 | train/epoch_011/ex i i
  80 | train/epoch_011/ex f c
  81 | train/epoch_011/ex f a
  82 | train/epoch_011/ex ddd jjg
  83 | train/epoch_011/ex ddddddd bbbbbbb
  84 | train/epoch_011{1.26s}
  85 | train/epoch_012/loss 12.1329
  86 | train/epoch_012/ex jjjjj hhhhh
  87 | train/epoch_012/ex bbbbb ieeee
  88 | train/epoch_012/ex bbbbbb gggggg
  89 | train/epoch_012/ex bbbb bbcf
  90 | train/epoch_012/ex d h
  91 | train/epoch_012{1.25s}
  92 | train/epoch_013/loss 11.7830
  93 | train/epoch_013/ex ffffff gggggg
  94 | train/epoch_013/ex bb jb
  95 | train/epoch_013/ex d d
  96 | train/epoch_013/ex i d
  97 | train/epoch_013/ex iiii fffe
  98 | train/epoch_013{1.28s}
  99 | train/epoch_014/loss 11.6701
 100 | train/epoch_014/ex jjjjjjjj jjjjjjjj
 101 | train/epoch_014/ex a a
 102 | train/epoch_014/ex hhhhh ggggg
 103 | train/epoch_014/ex a b
 104 | train/epoch_014/ex a d
 105 | train/epoch_014{1.28s}
 106 | train/epoch_015/loss 11.8334
 107 | train/epoch_015/ex cccc fjji
 108 | train/epoch_015/ex cccccc cccccc
 109 | train/epoch_015/ex hhhh fiff
 110 | train/epoch_015/ex hhhh iiie
 111 | train/epoch_015/ex ddddd ccccc
 112 | train/epoch_015{1.27s}
 113 | train/epoch_016/loss 11.5445
 114 | train/epoch_016/ex ddd dda
 115 | train/epoch_016/ex bb fj
 116 | train/epoch_016/ex dddddd eeeeee
 117 | train/epoch_016/ex ggg ggj
 118 | train/epoch_016/ex j g
 119 | train/epoch_016{1.29s}
 120 | train/epoch_017/loss 11.4088
 121 | train/epoch_017/ex bbbb aaja
 122 | train/epoch_017/ex bbbb ddcd
 123 | train/epoch_017/ex gggg gggb
 124 | train/epoch_017/ex gggggg bbgggg
 125 | train/epoch_017/ex bbbbb bbbbb
 126 | train/epoch_017{1.27s}
 127 | train/epoch_018/loss 11.5917
 128 | train/epoch_018/ex eeeee hbbbb
 129 | train/epoch_018/ex f j
 130 | train/epoch_018/ex ggg bgb
 131 | train/epoch_018/ex eeeeee cccjcj
 132 | train/epoch_018/ex ggggggg ggggggi
 133 | train/epoch_018{1.25s}
 134 | train/epoch_019/loss 11.9625
 135 | train/epoch_019/ex ddddddd bbbbbbb
 136 | train/epoch_019/ex hhhhh jjajj
 137 | train/epoch_019/ex gggg gggg
 138 | train/epoch_019/ex gggggg gggggg
 139 | train/epoch_019/ex ggggg geegg
 140 | train/epoch_019{1.28s}
 141 | train/epoch_020/loss 11.3669
 142 | train/epoch_020/ex gg fh
 143 | train/epoch_020/ex ggggg ciiid
 144 | train/epoch_020/ex eeeee djjjj
 145 | train/epoch_020/ex gggg heeh
 146 | train/epoch_020/ex b a
 147 | train/epoch_020{1.27s}
 148 | train/epoch_021/loss 11.9595
 149 | train/epoch_021/ex aaa iii
 150 | train/epoch_021/ex aaaa iiff
 151 | train/epoch_021/ex gggg fiid
 152 | train/epoch_021/ex aa ff
 153 | train/epoch_021/ex aaa fff
 154 | train/epoch_021{1.29s}
 155 | train/epoch_022/loss 11.5341
 156 | train/epoch_022/ex dddddd fffdff
 157 | train/epoch_022/ex bbbbb ccccc
 158 | train/epoch_022/ex i e
 159 | train/epoch_022/ex iii hhc
 160 | train/epoch_022/ex iiiiii gggggg
 161 | train/epoch_022{1.26s}
 162 | train/epoch_023/loss 11.5181
 163 | train/epoch_023/ex dddddd dddddd
 164 | train/epoch_023/ex jjjjjjjj ffffffff
 165 | train/epoch_023/ex bbbbbbb eeeeeee
 166 | train/epoch_023/ex jj jj
 167 | train/epoch_023/ex ddddddd eeeeeae
 168 | train/epoch_023{1.27s}
 169 | train/epoch_024/loss 11.5087
 170 | train/epoch_024/ex jj ia
 171 | train/epoch_024/ex ccc fac
 172 | train/epoch_024/ex ccccc diidi
 173 | train/epoch_024/ex eeeee biiii
 174 | train/epoch_024/ex cc af
 175 | train/epoch_024{1.27s}
 176 | train/epoch_025/loss 11.4661
 177 | train/epoch_025/ex cccc biii
 178 | train/epoch_025/ex jj ag
 179 | train/epoch_025/ex jjj bij
 180 | train/epoch_025/ex cccc dcdd
 181 | train/epoch_025/ex j f
 182 | train/epoch_025{1.26s}
 183 | train/epoch_026/loss 11.7014
 184 | train/epoch_026/ex aaa aaa
 185 | train/epoch_026/ex ccc dfd
 186 | train/epoch_026/ex iiii aaaj
 187 | train/epoch_026/ex jj bc
 188 | train/epoch_026/ex hhh hhh
 189 | train/epoch_026{1.27s}
 190 | train/epoch_027/loss 11.6740
 191 | train/epoch_027/ex jj jd
 192 | train/epoch_027/ex ccc ddd
 193 | train/epoch_027/ex c i
 194 | train/epoch_027/ex eeeeee abiiii
 195 | train/epoch_027/ex gg ja
 196 | train/epoch_027{1.26s}
 197 | train/epoch_028/loss 11.0693
 198 | train/epoch_028/ex ggg fff
 199 | train/epoch_028/ex bbbb gggg
 200 | train/epoch_028/ex bbbb ccgg
 201 | train/epoch_028/ex gggg bddd
 202 | train/epoch_028/ex gggg dede
 203 | train/epoch_028{1.27s}
 204 | train/epoch_029/loss 10.9515
 205 | train/epoch_029/ex jjjj bbbb
 206 | train/epoch_029/ex cc gh
 207 | train/epoch_029/ex j j
 208 | train/epoch_029/ex e j
 209 | train/epoch_029/ex d d
 210 | train/epoch_029{1.29s}
 211 | train/epoch_030/loss 11.0099
 212 | train/epoch_030/ex g g
 213 | train/epoch_030/ex gggg faff
 214 | train/epoch_030/ex cccccccc cccccccc
 215 | train/epoch_030/ex ccc jjb
 216 | train/epoch_030/ex b i
 217 | train/epoch_030{1.24s}
 218 | train/epoch_031/loss 11.0173
 219 | train/epoch_031/ex iiiiiii hjhjhjh
 220 | train/epoch_031/ex jjjjjjjj iiiiieii
 221 | train/epoch_031/ex gggg hhhh
 222 | train/epoch_031/ex j j
 223 | train/epoch_031/ex hh ha
 224 | train/epoch_031{1.28s}
 225 | train/epoch_032/loss 10.9600
 226 | train/epoch_032/ex jj dd
 227 | train/epoch_032/ex hhhhhh ggaaga
 228 | train/epoch_032/ex f d
 229 | train/epoch_032/ex gggggg jjjjjj
 230 | train/epoch_032/ex jjjjjjjj ffffffff
 231 | train/epoch_032{1.26s}
 232 | train/epoch_033/loss 11.4437
 233 | train/epoch_033/ex hhhh cccc
 234 | train/epoch_033/ex eeeee iafaf
 235 | train/epoch_033/ex iii eda
 236 | train/epoch_033/ex eeeeeee hhhhfff
 237 | train/epoch_033/ex jj dh
 238 | train/epoch_033{1.26s}
 239 | train/epoch_034/loss 10.8139
 240 | train/epoch_034/ex ddd aaa
 241 | train/epoch_034/ex f g
 242 | train/epoch_034/ex dddd gggf
 243 | train/epoch_034/ex hhh hhh
 244 | train/epoch_034/ex gggggggg gggggggg
 245 | train/epoch_034{1.26s}
 246 | train/epoch_035/loss 10.4774
 247 | train/epoch_035/ex jjjjjj bhhhgb
 248 | train/epoch_035/ex g a
 249 | train/epoch_035/ex g j
 250 | train/epoch_035/ex aaaaaaa ggggggg
 251 | train/epoch_035/ex eeeeeeeee ccccccccc
 252 | train/epoch_035{1.26s}
 253 | train/epoch_036/loss 10.6643
 254 | train/epoch_036/ex aaaa ddde
 255 | train/epoch_036/ex j j
 256 | train/epoch_036/ex eeeeeeee eeeeeeee
 257 | train/epoch_036/ex jjj aig
 258 | train/epoch_036/ex e h
 259 | train/epoch_036{1.27s}
 260 | train/epoch_037/loss 10.8361
 261 | train/epoch_037/ex h g
 262 | train/epoch_037/ex gggg baaa
 263 | train/epoch_037/ex g c
 264 | train/epoch_037/ex jj jj
 265 | train/epoch_037/ex bbbb ggge
 266 | train/epoch_037{1.27s}
 267 | train/epoch_038/loss 9.9229
 268 | train/epoch_038/ex ccc aaa
 269 | train/epoch_038/ex hhhh ifff
 270 | train/epoch_038/ex gggggg hhfggh
 271 | train/epoch_038/ex ggg hgg
 272 | train/epoch_038/ex hhhhh ghggh
 273 | train/epoch_038{1.25s}
 274 | train/epoch_039/loss 10.6858
 275 | train/epoch_039/ex ggggg fffff
 276 | train/epoch_039/ex hhhhhhhhh bbbbhbbbb
 277 | train/epoch_039/ex ddd jhh
 278 | train/epoch_039/ex ddd fii
 279 | train/epoch_039/ex jjj hhh
 280 | train/epoch_039{1.30s}
 281 | train/epoch_040/loss 10.2436
 282 | train/epoch_040/ex fffff fcffh
 283 | train/epoch_040/ex ff ef
 284 | train/epoch_040/ex aaa gii
 285 | train/epoch_040/ex ffffffff ffffffff
 286 | train/epoch_040/ex aaaa gicc
 287 | train/epoch_040{1.25s}
 288 | train/epoch_041/loss 9.9133
 289 | train/epoch_041/ex d c
 290 | train/epoch_041/ex jjjjj didii
 291 | train/epoch_041/ex ggg ggg
 292 | train/epoch_041/ex ffff fffc
 293 | train/epoch_041/ex gggggg bbbbbi
 294 | train/epoch_041{1.24s}
 295 | train/epoch_042/loss 9.8541
 296 | train/epoch_042/ex bbbbb ejeff
 297 | train/epoch_042/ex jjjjj fjjjj
 298 | train/epoch_042/ex h d
 299 | train/epoch_042/ex gggggggg bbbbbbbf
 300 | train/epoch_042/ex ggg hhh
 301 | train/epoch_042{1.24s}
 302 | train/epoch_043/loss 10.1383
 303 | train/epoch_043/ex i j
 304 | train/epoch_043/ex ggggg gghgg
 305 | train/epoch_043/ex gggggg ggggfg
 306 | train/epoch_043/ex e e
 307 | train/epoch_043/ex jd jf
 308 | train/epoch_043{1.27s}
 309 | train/epoch_044/loss 9.5657
 310 | train/epoch_044/ex h d
 311 | train/epoch_044/ex bbb ccb
 312 | train/epoch_044/ex e e
 313 | train/epoch_044/ex g b
 314 | train/epoch_044/ex bf fd
 315 | train/epoch_044{1.27s}
 316 | train/epoch_045/loss 9.1681
 317 | train/epoch_045/ex jjjj bjbb
 318 | train/epoch_045/ex h h
 319 | train/epoch_045/ex ddd dee
 320 | train/epoch_045/ex aaaa aaaa
 321 | train/epoch_045/ex jjj hha
 322 | train/epoch_045{1.28s}
 323 | train/epoch_046/loss 9.6376
 324 | train/epoch_046/ex hhh che
 325 | train/epoch_046/ex i j
 326 | train/epoch_046/ex ffffffff ffffffff
 327 | train/epoch_046/ex d b
 328 | train/epoch_046/ex eeee aeee
 329 | train/epoch_046{1.25s}
 330 | train/epoch_047/loss 8.4740
 331 | train/epoch_047/ex bb ff
 332 | train/epoch_047/ex iiiii iiiii
 333 | train/epoch_047/ex aaa aja
 334 | train/epoch_047/ex ddd ddi
 335 | train/epoch_047/ex gggggg gggggg
 336 | train/epoch_047{1.25s}
 337 | train/epoch_048/loss 8.4864
 338 | train/epoch_048/ex iii iii
 339 | train/epoch_048/ex ccc hhh
 340 | train/epoch_048/ex bbb aai
 341 | train/epoch_048/ex c h
 342 | train/epoch_048/ex dddddd cccccc
 343 | train/epoch_048{1.29s}
 344 | train/epoch_049/loss 8.3088
 345 | train/epoch_049/ex bbbbbb gbghbb
 346 | train/epoch_049/ex bbbbbbbb bbbbbbbb
 347 | train/epoch_049/ex ggg gcb
 348 | train/epoch_049/ex ccccccc iiccccc
 349 | train/epoch_049/ex aaaa eaee
 350 | train/epoch_049{1.25s}
 351 | train/epoch_050/loss 8.4498
 352 | train/epoch_050/ex aaaa aaac
 353 | train/epoch_050/ex hhhhhhhhhhh fiihffihfiff
 354 | train/epoch_050/ex c a
 355 | train/epoch_050/ex fffff fbfff
 356 | train/epoch_050/ex ffff fbff
 357 | train/epoch_050{1.28s}
 358 | train/epoch_051/loss 7.9924
 359 | train/epoch_051/ex eeeeeee eeeeeee
 360 | train/epoch_051/ex gg gc
 361 | train/epoch_051/ex hhhh hhhh
 362 | train/epoch_051/ex jjjjj jjjfj
 363 | train/epoch_051/ex jjjjj jjjjj
 364 | train/epoch_051{1.28s}
 365 | train/epoch_052/loss 7.5025
 366 | train/epoch_052/ex h b
 367 | train/epoch_052/ex hh ha
 368 | train/epoch_052/ex h h
 369 | train/epoch_052/ex ccb ccb
 370 | train/epoch_052/ex iie ege
 371 | train/epoch_052{1.26s}
 372 | train/epoch_053/loss 7.8173
 373 | train/epoch_053/ex ib hg
 374 | train/epoch_053/ex h a
 375 | train/epoch_053/ex dji idi
 376 | train/epoch_053/ex cccccc cccccc
 377 | train/epoch_053/ex aaaa hdaa
 378 | train/epoch_053{1.28s}
 379 | train/epoch_054/loss 7.5550
 380 | train/epoch_054/ex ddd dcc
 381 | train/epoch_054/ex bbb jjj
 382 | train/epoch_054/ex hhhhhhh hhhhhhh
 383 | train/epoch_054/ex bbb bbb
 384 | train/epoch_054/ex ddd ddd
 385 | train/epoch_054{1.27s}
 386 | train/epoch_055/loss 7.6156
 387 | train/epoch_055/ex hhhhh chhhh
 388 | train/epoch_055/ex jj ii
 389 | train/epoch_055/ex ddddd deedd
 390 | train/epoch_055/ex dddd dddd
 391 | train/epoch_055/ex hhh feb
 392 | train/epoch_055{1.26s}
 393 | train/epoch_056/loss 7.2569
 394 | train/epoch_056/ex jj ff
 395 | train/epoch_056/ex h j
 396 | train/epoch_056/ex g b
 397 | train/epoch_056/ex jjjj fjjj
 398 | train/epoch_056/ex aaabb abbba
 399 | train/epoch_056{1.29s}
 400 | train/epoch_057/loss 7.1361
 401 | train/epoch_057/ex ccccc ccccc
 402 | train/epoch_057/ex if ai
 403 | train/epoch_057/ex iiiiii eiiiii
 404 | train/epoch_057/ex gggggg bbgbbb
 405 | train/epoch_057/ex ghg hgh
 406 | train/epoch_057{1.25s}
 407 | train/epoch_058/loss 7.0003
 408 | train/epoch_058/ex aaaaaaa ggggaag
 409 | train/epoch_058/ex eeeeee eeeeee
 410 | train/epoch_058/ex aaaaaa ccacca
 411 | train/epoch_058/ex hf hf
 412 | train/epoch_058/ex d d
 413 | train/epoch_058{1.29s}
 414 | train/epoch_059/loss 7.1866
 415 | train/epoch_059/ex aaaaa aadaa
 416 | train/epoch_059/ex cccccf ffcfac
 417 | train/epoch_059/ex bbb bba
 418 | train/epoch_059/ex aa ah
 419 | train/epoch_059/ex fff fff
 420 | train/epoch_059{1.28s}
 421 | train/epoch_060/loss 6.9411
 422 | train/epoch_060/ex jjjjjjjj jjjjaaac
 423 | train/epoch_060/ex fff fff
 424 | train/epoch_060/ex aaa cca
 425 | train/epoch_060/ex h a
 426 | train/epoch_060/ex fffff ffbbf
 427 | train/epoch_060{1.29s}
 428 | train/epoch_061/loss 7.0724
 429 | train/epoch_061/ex ff ff
 430 | train/epoch_061/ex jjjj ejje
 431 | train/epoch_061/ex cccf fffc
 432 | train/epoch_061/ex j g
 433 | train/epoch_061/ex eee iii
 434 | train/epoch_061{1.29s}
 435 | train/epoch_062/loss 8.0127
 436 | train/epoch_062/ex dddd gddd
 437 | train/epoch_062/ex fff ddd
 438 | train/epoch_062/ex bbbbb bbbb
 439 | train/epoch_062/ex fffff fgggg
 440 | train/epoch_062/ex gbd gbg
 441 | train/epoch_062{1.31s}
 442 | train/epoch_063/loss 7.5818
 443 | train/epoch_063/ex eeh eii
 444 | train/epoch_063/ex gggg aggg
 445 | train/epoch_063/ex eeee eeej
 446 | train/epoch_063/ex ggg aaa
 447 | train/epoch_063/ex c g
 448 | train/epoch_063{1.24s}
 449 | train/epoch_064/loss 6.6310
 450 | train/epoch_064/ex b b
 451 | train/epoch_064/ex bcb bcb
 452 | train/epoch_064/ex d b
 453 | train/epoch_064/ex bbbb ccbc
 454 | train/epoch_064/ex g j
 455 | train/epoch_064{1.27s}
 456 | train/epoch_065/loss 7.1209
 457 | train/epoch_065/ex gg dh
 458 | train/epoch_065/ex bbbbb bbjbb
 459 | train/epoch_065/ex bbbbb bbfbf
 460 | train/epoch_065/ex j j
 461 | train/epoch_065/ex jjj jdj
 462 | train/epoch_065{1.24s}
 463 | train/epoch_066/loss 6.4592
 464 | train/epoch_066/ex jf fh
 465 | train/epoch_066/ex ii ii
 466 | train/epoch_066/ex dc cd
 467 | train/epoch_066/ex dd di
 468 | train/epoch_066/ex aa ii
 469 | train/epoch_066{1.26s}
 470 | train/epoch_067/loss 6.4710
 471 | train/epoch_067/ex ffff cfff
 472 | train/epoch_067/ex eeeeeee eieeeee
 473 | train/epoch_067/ex gggggg gggggg
 474 | train/epoch_067/ex jf fj
 475 | train/epoch_067/ex aa ga
 476 | train/epoch_067{1.26s}
 477 | train/epoch_068/loss 6.6270
 478 | train/epoch_068/ex jjjjj djjjj
 479 | train/epoch_068/ex fffff jjdjj
 480 | train/epoch_068/ex bbbbb bbbbb
 481 | train/epoch_068/ex i c
 482 | train/epoch_068/ex bdbd addc
 483 | train/epoch_068{1.27s}
 484 | train/epoch_069/loss 6.9235
 485 | train/epoch_069/ex ddddddd ddddddd
 486 | train/epoch_069/ex hahah hahhf
 487 | train/epoch_069/ex bbb ddd
 488 | train/epoch_069/ex g a
 489 | train/epoch_069/ex haaaa aahaj
 490 | train/epoch_069{1.26s}
 491 | train/epoch_070/loss 6.1613
 492 | train/epoch_070/ex eae aee
 493 | train/epoch_070/ex jjjje jjddf
 494 | train/epoch_070/ex eeeeee eeeeee
 495 | train/epoch_070/ex cbb bbc
 496 | train/epoch_070/ex fffff ffhff
 497 | train/epoch_070{1.29s}
 498 | train/epoch_071/loss 6.6061
 499 | train/epoch_071/ex ii ii
 500 | train/epoch_071/ex iii aii
 501 | train/epoch_071/ex eeeeee eeeeee
 502 | train/epoch_071/ex eeeeeeee eeeeeeee
 503 | train/epoch_071/ex jjjjjjjj jjjjjjjj
 504 | train/epoch_071{1.27s}
 505 | train/epoch_072/loss 6.2274
 506 | train/epoch_072/ex j b
 507 | train/epoch_072/ex hhiiiii hhhiiii
 508 | train/epoch_072/ex jjjjj ejjjj
 509 | train/epoch_072/ex aaj aaj
 510 | train/epoch_072/ex jfjfj fjjjf
 511 | train/epoch_072{1.26s}
 512 | train/epoch_073/loss 6.6819
 513 | train/epoch_073/ex b j
 514 | train/epoch_073/ex bcbc bicb
 515 | train/epoch_073/ex bb bb
 516 | train/epoch_073/ex aaaa aaaa
 517 | train/epoch_073/ex d h
 518 | train/epoch_073{1.24s}
 519 | train/epoch_074/loss 5.8375
 520 | train/epoch_074/ex j j
 521 | train/epoch_074/ex igig ighf
 522 | train/epoch_074/ex jjjjjjj jjjjjjj
 523 | train/epoch_074/ex hddh hdhh
 524 | train/epoch_074/ex eeee eaaa
 525 | train/epoch_074{1.30s}
 526 | train/epoch_075/loss 6.2506
 527 | train/epoch_075/ex effe eeef
 528 | train/epoch_075/ex aiii ggig
 529 | train/epoch_075/ex b a
 530 | train/epoch_075/ex dde eie
 531 | train/epoch_075/ex bffffffb bffbbbfb
 532 | train/epoch_075{1.29s}
 533 | train/epoch_076/loss 6.4191
 534 | train/epoch_076/ex eeeee ceeee
 535 | train/epoch_076/ex e h
 536 | train/epoch_076/ex cccc bccg
 537 | train/epoch_076/ex iii iii
 538 | train/epoch_076/ex ic db
 539 | train/epoch_076{1.29s}
 540 | train/epoch_077/loss 6.5926
 541 | train/epoch_077/ex eee eef
 542 | train/epoch_077/ex jjjjj ejejj
 543 | train/epoch_077/ex jjjjjjj jjjjjjj
 544 | train/epoch_077/ex ggggg ggggg
 545 | train/epoch_077/ex iiia iiaa
 546 | train/epoch_077{1.24s}
 547 | train/epoch_078/loss 6.2125
 548 | train/epoch_078/ex ffffffffj ffjffffff
 549 | train/epoch_078/ex bbbbbb bbbbbb
 550 | train/epoch_078/ex hh aa
 551 | train/epoch_078/ex bb gg
 552 | train/epoch_078/ex gggggg gggggg
 553 | train/epoch_078{1.27s}
 554 | train/epoch_079/loss 6.1175
 555 | train/epoch_079/ex bjbj bfbj
 556 | train/epoch_079/ex eeeeee eeeeee
 557 | train/epoch_079/ex he eg
 558 | train/epoch_079/ex ddd dda
 559 | train/epoch_079/ex bbbbbb bbbibb
 560 | train/epoch_079{1.24s}
 561 | train/epoch_080/loss 5.9942
 562 | train/epoch_080/ex ggg ggf
 563 | train/epoch_080/ex h c
 564 | train/epoch_080/ex ibi bfi
 565 | train/epoch_080/ex j g
 566 | train/epoch_080/ex h e
 567 | train/epoch_080{1.25s}
 568 | train/epoch_081/loss 6.2856
 569 | train/epoch_081/ex ggge heee
 570 | train/epoch_081/ex ebib eiib
 571 | train/epoch_081/ex eeeeee eeeeee
 572 | train/epoch_081/ex eeeeee eeeeec
 573 | train/epoch_081/ex bbbbbbb dbbbbbb
 574 | train/epoch_081{1.20s}
 575 | train/epoch_082/loss 5.8819
 576 | train/epoch_082/ex b g
 577 | train/epoch_082/ex i j
 578 | train/epoch_082/ex eeee ccee
 579 | train/epoch_082/ex agaaaa aaggag
 580 | train/epoch_082/ex j j
 581 | train/epoch_082{1.25s}
 582 | train/epoch_083/loss 6.3647
 583 | train/epoch_083/ex gggg gggg
 584 | train/epoch_083/ex hd bh
 585 | train/epoch_083/ex jjjjj jjjjj
 586 | train/epoch_083/ex aa gg
 587 | train/epoch_083/ex d i
 588 | train/epoch_083{1.28s}
 589 | train/epoch_084/loss 5.9172
 590 | train/epoch_084/ex eeeeee eeeeee
 591 | train/epoch_084/ex bbbbb bbcbb
 592 | train/epoch_084/ex dbddbdb bdbdbbd
 593 | train/epoch_084/ex ccg cgg
 594 | train/epoch_084/ex cccc gggc
 595 | train/epoch_084{1.28s}
 596 | train/epoch_085/loss 5.9106
 597 | Epoch    85: reducing learning rate of group 0 to 1.0000e-03.
 598 | train/epoch_085/ex jj jj
 599 | train/epoch_085/ex hed dhd
 600 | train/epoch_085/ex aaa aaa
 601 | train/epoch_085/ex b j
 602 | train/epoch_085/ex hhhhh hhhhh
 603 | train/epoch_085{1.28s}
 604 | train/epoch_086/loss 6.0638
 605 | train/epoch_086/ex gj gb
 606 | train/epoch_086/ex ggggg beggg
 607 | train/epoch_086/ex ja ej
 608 | train/epoch_086/ex if ij
 609 | train/epoch_086/ex aa aj
 610 | train/epoch_086{1.29s}
 611 | train/epoch_087/loss 5.7187
 612 | train/epoch_087/ex cccc cccc
 613 | train/epoch_087/ex eee eee
 614 | train/epoch_087/ex fff fff
 615 | train/epoch_087/ex efefe ifaea
 616 | train/epoch_087/ex g f
 617 | train/epoch_087{1.26s}
 618 | train/epoch_088/loss 5.8355
 619 | train/epoch_088/ex jf jg
 620 | train/epoch_088/ex jjj jje
 621 | train/epoch_088/ex cccce cceee
 622 | train/epoch_088/ex iii ggg
 623 | train/epoch_088/ex hhhhhhh hhhhahh
 624 | train/epoch_088{1.26s}
 625 | train/epoch_089/loss 5.9665
 626 | train/epoch_089/ex i g
 627 | train/epoch_089/ex a d
 628 | train/epoch_089/ex a c
 629 | train/epoch_089/ex ie ji
 630 | train/epoch_089/ex ccc ccc
 631 | train/epoch_089{1.24s}
 632 | train/epoch_090/loss 5.6940
 633 | train/epoch_090/ex iiii iiie
 634 | train/epoch_090/ex didddi dididd
 635 | train/epoch_090/ex iii iii
 636 | train/epoch_090/ex iii iii
 637 | train/epoch_090/ex dddddddd hddddddd
 638 | train/epoch_090{1.25s}
 639 | train/epoch_091/loss 5.3599
 640 | train/epoch_091/ex b j
 641 | train/epoch_091/ex gggggg gggggg
 642 | train/epoch_091/ex ddda bddi
 643 | train/epoch_091/ex bbb fff
 644 | train/epoch_091/ex aab bba
 645 | train/epoch_091{1.29s}
 646 | train/epoch_092/loss 5.6582
 647 | train/epoch_092/ex bbbbb bbbbb
 648 | train/epoch_092/ex g e
 649 | train/epoch_092/ex g i
 650 | train/epoch_092/ex ccchcch cchchhc
 651 | train/epoch_092/ex aag gga
 652 | train/epoch_092{1.27s}
 653 | train/epoch_093/loss 6.0616
 654 | train/epoch_093/ex ddddf dddfd
 655 | train/epoch_093/ex icccci iiaiia
 656 | train/epoch_093/ex bj bj
 657 | train/epoch_093/ex d h
 658 | train/epoch_093/ex bbe cce
 659 | train/epoch_093{1.28s}
 660 | train/epoch_094/loss 5.7914
 661 | train/epoch_094/ex ddc bdd
 662 | train/epoch_094/ex g a
 663 | train/epoch_094/ex iiiiii iiiiii
 664 | train/epoch_094/ex cchcch hcccch
 665 | train/epoch_094/ex ebe beb
 666 | train/epoch_094{1.26s}
 667 | train/epoch_095/loss 5.7248
 668 | train/epoch_095/ex bbbb bbbb
 669 | train/epoch_095/ex c e
 670 | train/epoch_095/ex aa hh
 671 | train/epoch_095/ex d h
 672 | train/epoch_095/ex eeeee eeeee
 673 | train/epoch_095{1.24s}
 674 | train/epoch_096/loss 5.9161
 675 | train/epoch_096/ex ce ig
 676 | train/epoch_096/ex iih aii
 677 | train/epoch_096/ex ggg ggg
 678 | train/epoch_096/ex jejeje jejeej
 679 | train/epoch_096/ex jje jij
 680 | train/epoch_096{1.26s}
 681 | train/epoch_097/loss 5.5123
 682 | train/epoch_097/ex di dh
 683 | train/epoch_097/ex hj ja
 684 | train/epoch_097/ex fffff fffff
 685 | train/epoch_097/ex dgd dcb
 686 | train/epoch_097/ex ffffffff ffffffff
 687 | train/epoch_097{1.27s}
 688 | train/epoch_098/loss 5.7965
 689 | train/epoch_098/ex hhhhhh hhhhhh
 690 | train/epoch_098/ex fff fff
 691 | train/epoch_098/ex bf bj
 692 | train/epoch_098/ex cccj ccce
 693 | train/epoch_098/ex ggggggggj ffgggggjg
 694 | train/epoch_098{1.28s}
 695 | train/epoch_099/loss 5.7147
 696 | train/epoch_099/ex bi gi
 697 | train/epoch_099/ex aab aab
 698 | train/epoch_099/ex ddhhh hdhhh
 699 | train/epoch_099/ex jja jff
 700 | train/epoch_099/ex eeee eeee
 701 | train/epoch_099{1.29s}
 702 | train/epoch_100/loss 5.5634
 703 | train/epoch_100/ex hhhg hhhg
 704 | train/epoch_100/ex b i
 705 | train/epoch_100/ex ccd cjc
 706 | train/epoch_100/ex hhhhh hhhhh
 707 | train/epoch_100/ex c j
 708 | train/epoch_100{1.29s}
 709 | train/epoch_101/loss 6.0748
 710 | train/epoch_101/ex dcdd dcdd
 711 | train/epoch_101/ex ic ci
 712 | train/epoch_101/ex dbdbdb bdbdbd
 713 | train/epoch_101/ex aagaaa aggggg
 714 | train/epoch_101/ex f a
 715 | train/epoch_101{1.30s}
 716 | train/epoch_102/loss 5.9902
 717 | Epoch   102: reducing learning rate of group 0 to 5.0000e-04.
 718 | train/epoch_102/ex aaggg ggaai
 719 | train/epoch_102/ex ffffa fafff
 720 | train/epoch_102/ex bgb gbg
 721 | train/epoch_102/ex dh id
 722 | train/epoch_102/ex iii iii
 723 | train/epoch_102{1.28s}
 724 | train/epoch_103/loss 5.7274
 725 | train/epoch_103/ex aaf haa
 726 | train/epoch_103/ex ccc ccb
 727 | train/epoch_103/ex eeeeehhh hhheheee
 728 | train/epoch_103/ex jjji jiii
 729 | train/epoch_103/ex hh hf
 730 | train/epoch_103{1.26s}
 731 | train/epoch_104/loss 5.8842
 732 | train/epoch_104/ex ggggg ggggg
 733 | train/epoch_104/ex ea ea
 734 | train/epoch_104/ex g f
 735 | train/epoch_104/ex ggg gga
 736 | train/epoch_104/ex ddddddddd ddddddddd
 737 | train/epoch_104{1.27s}
 738 | train/epoch_105/loss 5.4631
 739 | train/epoch_105/ex ha ca
 740 | train/epoch_105/ex aae faa
 741 | train/epoch_105/ex iii fff
 742 | train/epoch_105/ex hfh fhi
 743 | train/epoch_105/ex iiiiii iiiiii
 744 | train/epoch_105{1.26s}
 745 | train/epoch_106/loss 5.7931
 746 | train/epoch_106/ex aeeaea iaaaie
 747 | train/epoch_106/ex bbb bbb
 748 | train/epoch_106/ex j b
 749 | train/epoch_106/ex d e
 750 | train/epoch_106/ex d d
 751 | train/epoch_106{1.29s}
 752 | train/epoch_107/loss 5.7125
 753 | train/epoch_107/ex eeeee eeeee
 754 | train/epoch_107/ex aaaaa aaaaa
 755 | train/epoch_107/ex aaaaa aaaah
 756 | train/epoch_107/ex ede aed
 757 | train/epoch_107/ex efgh fhgh
 758 | train/epoch_107{1.27s}
 759 | train/epoch_108/loss 5.6252
 760 | train/epoch_108/ex ad ce
 761 | train/epoch_108/ex bba aab
 762 | train/epoch_108/ex hhi hhi
 763 | train/epoch_108/ex bd gd
 764 | train/epoch_108/ex d h
 765 | train/epoch_108{1.23s}
 766 | train/epoch_109/loss 5.6111
 767 | train/epoch_109/ex a c
 768 | train/epoch_109/ex aha hag
 769 | train/epoch_109/ex i j
 770 | train/epoch_109/ex ja ai
 771 | train/epoch_109/ex eie eie
 772 | train/epoch_109{1.26s}
 773 | train/epoch_110/loss 5.9572
 774 | train/epoch_110/ex eeeee eeeee
 775 | train/epoch_110/ex cjcjcj cjccjc
 776 | train/epoch_110/ex iij jji
 777 | train/epoch_110/ex fb bf
 778 | train/epoch_110/ex fffdd ddddf
 779 | train/epoch_110{1.26s}
 780 | train/epoch_111/loss 6.0238
 781 | train/epoch_111/ex ddd fff
 782 | train/epoch_111/ex j b
 783 | train/epoch_111/ex bbbbbbb bbbbbbb
 784 | train/epoch_111/ex hhhhh hhhhh
 785 | train/epoch_111/ex afaa faff
 786 | train/epoch_111{1.25s}
 787 | train/epoch_112/loss 6.1947
 788 | train/epoch_112/ex e e
 789 | train/epoch_112/ex eeeeeeh eeeehhh
 790 | train/epoch_112/ex ec eg
 791 | train/epoch_112/ex ccccj jcccj
 792 | train/epoch_112/ex ga ga
 793 | train/epoch_112{1.29s}
 794 | train/epoch_113/loss 5.6839
 795 | Epoch   113: reducing learning rate of group 0 to 2.5000e-04.
 796 | train/epoch_113/ex jjj jjj
 797 | train/epoch_113/ex fdfd fbfb
 798 | train/epoch_113/ex bb bb
 799 | train/epoch_113/ex hhh hhh
 800 | train/epoch_113/ex d f
 801 | train/epoch_113{1.27s}
 802 | train/epoch_114/loss 5.2755
 803 | train/epoch_114/ex aa aa
 804 | train/epoch_114/ex eeg jee
 805 | train/epoch_114/ex bbbb bbbb
 806 | train/epoch_114/ex ccc ccc
 807 | train/epoch_114/ex e e
 808 | train/epoch_114{1.28s}
 809 | train/epoch_115/loss 5.2350
 810 | train/epoch_115/ex jjjjjj jjjjjj
 811 | train/epoch_115/ex aaaaga aggaaa
 812 | train/epoch_115/ex ggg ggg
 813 | train/epoch_115/ex beeeeeeb ebbbbeeb
 814 | train/epoch_115/ex iii fff
 815 | train/epoch_115{1.27s}
 816 | train/epoch_116/loss 5.5642
 817 | train/epoch_116/ex dddd dddd
 818 | train/epoch_116/ex ig ig
 819 | train/epoch_116/ex chchc bhchh
 820 | train/epoch_116/ex bbbb bbbb
 821 | train/epoch_116/ex gjgg jjgj
 822 | train/epoch_116{1.29s}
 823 | train/epoch_117/loss 5.8783
 824 | train/epoch_117/ex ffff fffi
 825 | train/epoch_117/ex gggga ggaaa
 826 | train/epoch_117/ex bi ib
 827 | train/epoch_117/ex bbb jjj
 828 | train/epoch_117/ex bbbbbb bbbbbb
 829 | train/epoch_117{1.27s}
 830 | train/epoch_118/loss 5.9089
 831 | train/epoch_118/ex aah ahh
 832 | train/epoch_118/ex jjd jjb
 833 | train/epoch_118/ex e h
 834 | train/epoch_118/ex hac cha
 835 | train/epoch_118/ex bbbbb bbbbb
 836 | train/epoch_118{1.26s}
 837 | train/epoch_119/loss 5.6352
 838 | train/epoch_119/ex aaaaa aaaaa
 839 | train/epoch_119/ex cccbcccc cbbccccc
 840 | train/epoch_119/ex gag igi
 841 | train/epoch_119/ex hhhh hhhh
 842 | train/epoch_119/ex g c
 843 | train/epoch_119{1.27s}
 844 | train/epoch_120/loss 5.2391
 845 | train/epoch_120/ex ggd ggh
 846 | train/epoch_120/ex jdjd jdjd
 847 | train/epoch_120/ex gb ca
 848 | train/epoch_120/ex cch cch
 849 | train/epoch_120/ex cfc fec
 850 | train/epoch_120{1.28s}
 851 | train/epoch_121/loss 5.3019
 852 | train/epoch_121/ex iii iii
 853 | train/epoch_121/ex ee ee
 854 | train/epoch_121/ex chch jcch
 855 | train/epoch_121/ex i j
 856 | train/epoch_121/ex aaac caaa
 857 | train/epoch_121{1.28s}
 858 | train/epoch_122/loss 5.6026
 859 | train/epoch_122/ex hhh jjj
 860 | train/epoch_122/ex hhj jhh
 861 | train/epoch_122/ex aaaaj aaaaj
 862 | train/epoch_122/ex eeeeee eeeeee
 863 | train/epoch_122/ex bdbd gbdb
 864 | train/epoch_122{1.25s}
 865 | train/epoch_123/loss 5.4459
 866 | train/epoch_123/ex dggddgg fddgdgg
 867 | train/epoch_123/ex ggggggg ggggggg
 868 | train/epoch_123/ex gggggggggf ggggfggggd
 869 | train/epoch_123/ex ffh ffh
 870 | train/epoch_123/ex hhhhh hhhhh
 871 | train/epoch_123{1.28s}
 872 | train/epoch_124/loss 5.1775
 873 | train/epoch_124/ex gghg hhgg
 874 | train/epoch_124/ex ghg ghg
 875 | train/epoch_124/ex ggg ggg
 876 | train/epoch_124/ex fi hi
 877 | train/epoch_124/ex cc jj
 878 | train/epoch_124{1.28s}
 879 | train/epoch_125/loss 5.3209
 880 | train/epoch_125/ex hhhhh hhhhh
 881 | train/epoch_125/ex iai iha
 882 | train/epoch_125/ex jjg gjj
 883 | train/epoch_125/ex bbb bbg
 884 | train/epoch_125/ex acac caca
 885 | train/epoch_125{1.27s}
 886 | train/epoch_126/loss 5.6072
 887 | train/epoch_126/ex ggggggg ggggggg
 888 | train/epoch_126/ex aaaaa aaaaa
 889 | train/epoch_126/ex dddb eddd
 890 | train/epoch_126/ex eeeeeee eeeeeee
 891 | train/epoch_126/ex ijijijij jijjiiij
 892 | train/epoch_126{1.29s}
 893 | train/epoch_127/loss 5.5849
 894 | train/epoch_127/ex hhhd hhhd
 895 | train/epoch_127/ex jji bjj
 896 | train/epoch_127/ex j i
 897 | train/epoch_127/ex aaaa aaaa
 898 | train/epoch_127/ex iie iee
 899 | train/epoch_127{1.29s}
 900 | train/epoch_128/loss 5.7705
 901 | train/epoch_128/ex bbe bbe
 902 | train/epoch_128/ex d j
 903 | train/epoch_128/ex bf eb
 904 | train/epoch_128/ex ddddd ddddd
 905 | train/epoch_128/ex fffff fffff
 906 | train/epoch_128{1.29s}
 907 | train/epoch_129/loss 4.9824
 908 | train/epoch_129/ex hj jh
 909 | train/epoch_129/ex gigig igigi
 910 | train/epoch_129/ex aaa aaa
 911 | train/epoch_129/ex c a
 912 | train/epoch_129/ex e d
 913 | train/epoch_129{1.29s}
 914 | train/epoch_130/loss 5.5260
 915 | train/epoch_130/ex ijibi bibib
 916 | train/epoch_130/ex eh be
 917 | train/epoch_130/ex d d
 918 | train/epoch_130/ex eeeeeee eeeeeee
 919 | train/epoch_130/ex iiiijii jjijjii
 920 | train/epoch_130{1.24s}
 921 | train/epoch_131/loss 5.5508
 922 | train/epoch_131/ex hhhhhhhhhhh hhhhhhhhhhh
 923 | train/epoch_131/ex gb ga
 924 | train/epoch_131/ex e g
 925 | train/epoch_131/ex ggd ggd
 926 | train/epoch_131/ex ggge ggge
 927 | train/epoch_131{1.27s}
 928 | train/epoch_132/loss 5.5362
 929 | train/epoch_132/ex jj jj
 930 | train/epoch_132/ex d i
 931 | train/epoch_132/ex iic iid
 932 | train/epoch_132/ex ggb gbb
 933 | train/epoch_132/ex ebe ebj
 934 | train/epoch_132{1.26s}
 935 | train/epoch_133/loss 4.9556
 936 | train/epoch_133/ex gdggdgd gdggggd
 937 | train/epoch_133/ex i i
 938 | train/epoch_133/ex bbbbbee ebbbbbb
 939 | train/epoch_133/ex ddddddd ddddddd
 940 | train/epoch_133/ex jje eea
 941 | train/epoch_133{1.29s}
 942 | train/epoch_134/loss 5.4120
 943 | train/epoch_134/ex aaa aaa
 944 | train/epoch_134/ex ibi ibi
 945 | train/epoch_134/ex gggggggg gggggggg
 946 | train/epoch_134/ex iia aii
 947 | train/epoch_134/ex hhhh hhhh
 948 | train/epoch_134{1.26s}
 949 | train/epoch_135/loss 5.2009
 950 | train/epoch_135/ex i i
 951 | train/epoch_135/ex ggghgggg gggghhgh
 952 | train/epoch_135/ex ggi ggc
 953 | train/epoch_135/ex bc cb
 954 | train/epoch_135/ex d d
 955 | train/epoch_135{1.24s}
 956 | train/epoch_136/loss 4.9664
 957 | train/epoch_136/ex jjjff eeefj
 958 | train/epoch_136/ex jjj jjj
 959 | train/epoch_136/ex aaa aaa
 960 | train/epoch_136/ex g g
 961 | train/epoch_136/ex jjhj jhjj
 962 | train/epoch_136{1.27s}
 963 | train/epoch_137/loss 5.2092
 964 | train/epoch_137/ex dde dee
 965 | train/epoch_137/ex hah ich
 966 | train/epoch_137/ex h c
 967 | train/epoch_137/ex hhha ahhh
 968 | train/epoch_137/ex ddd ddd
 969 | train/epoch_137{1.31s}
 970 | train/epoch_138/loss 5.5136
 971 | train/epoch_138/ex aaa aaa
 972 | train/epoch_138/ex aaaaaaa aaaaaaa
 973 | train/epoch_138/ex c a
 974 | train/epoch_138/ex aaa aaa
 975 | train/epoch_138/ex c a
 976 | train/epoch_138{1.25s}
 977 | train/epoch_139/loss 5.5350
 978 | train/epoch_139/ex bbjbbj bjbjjj
 979 | train/epoch_139/ex i h
 980 | train/epoch_139/ex hhfh hhfh
 981 | train/epoch_139/ex hhhhh hhhhh
 982 | train/epoch_139/ex ffjf ffjf
 983 | train/epoch_139{1.28s}
 984 | train/epoch_140/loss 5.3522
 985 | train/epoch_140/ex g c
 986 | train/epoch_140/ex cc gg
 987 | train/epoch_140/ex dddb gddd
 988 | train/epoch_140/ex h i
 989 | train/epoch_140/ex jccccj ccchjc
 990 | train/epoch_140{1.29s}
 991 | train/epoch_141/loss 5.7261
 992 | train/epoch_141/ex ffffi iiiif
 993 | train/epoch_141/ex ddddddddd ddddddddd
 994 | train/epoch_141/ex ffff ffff
 995 | train/epoch_141/ex ffffh ffffh
 996 | train/epoch_141/ex eh he
 997 | train/epoch_141{1.31s}
 998 | train/epoch_142/loss 5.4427
 999 | train/epoch_142/ex cf cf
1000 | train/epoch_142/ex g c
1001 | train/epoch_142/ex di hd
1002 | train/epoch_142/ex c c
1003 | train/epoch_142/ex cccc gggh
1004 | train/epoch_142{1.26s}
1005 | train/epoch_143/loss 5.9232
1006 | train/epoch_143/ex ah hi
1007 | train/epoch_143/ex e h
1008 | train/epoch_143/ex bbbbb bbbbb
1009 | train/epoch_143/ex eeeee eeeee
1010 | train/epoch_143/ex a i
1011 | train/epoch_143{1.30s}
1012 | train/epoch_144/loss 5.6765
1013 | Epoch   144: reducing learning rate of group 0 to 1.2500e-04.
1014 | train/epoch_144/ex c e
1015 | train/epoch_144/ex cecece ceecec
1016 | train/epoch_144/ex b i
1017 | train/epoch_144/ex iii iii
1018 | train/epoch_144/ex e d
1019 | train/epoch_144{1.24s}
1020 | train/epoch_145/loss 5.5937
1021 | train/epoch_145/ex hhhd hggg
1022 | train/epoch_145/ex ea ec
1023 | train/epoch_145/ex hj hf
1024 | train/epoch_145/ex aaaa jjjj
1025 | train/epoch_145/ex cccj cccj
1026 | train/epoch_145{1.28s}
1027 | train/epoch_146/loss 5.4225
1028 | train/epoch_146/ex ffe ffe
1029 | train/epoch_146/ex hhhh hhhc
1030 | train/epoch_146/ex aaf jaa
1031 | train/epoch_146/ex iiiiiid aiiiiii
1032 | train/epoch_146/ex jc jb
1033 | train/epoch_146{1.28s}
1034 | train/epoch_147/loss 5.3764
1035 | train/epoch_147/ex b b
1036 | train/epoch_147/ex j h
1037 | train/epoch_147/ex fff fff
1038 | train/epoch_147/ex gg ee
1039 | train/epoch_147/ex c i
1040 | train/epoch_147{1.32s}
1041 | train/epoch_148/loss 5.4966
1042 | train/epoch_148/ex iiaaa iiifa
1043 | train/epoch_148/ex i g
1044 | train/epoch_148/ex b b
1045 | train/epoch_148/ex eieei eiiei
1046 | train/epoch_148/ex e g
1047 | train/epoch_148{1.23s}
1048 | train/epoch_149/loss 5.5123
1049 | train/epoch_149/ex hhd dhh
1050 | train/epoch_149/ex ieeie iecci
1051 | train/epoch_149/ex jg jf
1052 | train/epoch_149/ex ja jb
1053 | train/epoch_149/ex if fh
1054 | train/epoch_149{1.28s}
1055 | train/epoch_150/loss 5.4662
1056 | train/epoch_150/ex fi fi
1057 | train/epoch_150/ex cccjj cjjjj
1058 | train/epoch_150/ex jjj jjj
1059 | train/epoch_150/ex dda dda
1060 | train/epoch_150/ex bbbbb bbbbb
1061 | train/epoch_150{1.24s}
1062 | train/epoch_151/loss 5.2341
1063 | train/epoch_151/ex bbbbbe ebbbbb
1064 | train/epoch_151/ex g f
1065 | train/epoch_151/ex hhh hhh
1066 | train/epoch_151/ex cbbc bbcb
1067 | train/epoch_151/ex cch hcc
1068 | train/epoch_151{1.25s}
1069 | train/epoch_152/loss 5.0248
1070 | train/epoch_152/ex ggi cgg
1071 | train/epoch_152/ex e j
1072 | train/epoch_152/ex ddf ddg
1073 | train/epoch_152/ex ae ha
1074 | train/epoch_152/ex ddddddd ddddddd
1075 | train/epoch_152{1.26s}
1076 | train/epoch_153/loss 4.6959
1077 | train/epoch_153/ex fff fff
1078 | train/epoch_153/ex eg he
1079 | train/epoch_153/ex e g
1080 | train/epoch_153/ex hhhhhh hhhhhh
1081 | train/epoch_153/ex hhhhh hhhhh
1082 | train/epoch_153{1.24s}
1083 | train/epoch_154/loss 5.2163
1084 | train/epoch_154/ex aaaaaaa aaaaaaa
1085 | train/epoch_154/ex d e
1086 | train/epoch_154/ex djd djd
1087 | train/epoch_154/ex ehbbh beehb
1088 | train/epoch_154/ex c d
1089 | train/epoch_154{1.31s}
1090 | train/epoch_155/loss 5.3194
1091 | train/epoch_155/ex bbbbb bbbbb
1092 | train/epoch_155/ex aaaa aaaa
1093 | train/epoch_155/ex jjj jjj
1094 | train/epoch_155/ex eeeee eeeee
1095 | train/epoch_155/ex iiii iiii
1096 | train/epoch_155{1.25s}
1097 | train/epoch_156/loss 5.3465
1098 | train/epoch_156/ex dadad addad
1099 | train/epoch_156/ex e d
1100 | train/epoch_156/ex ddddh gdddd
1101 | train/epoch_156/ex gghgggh gghghhh
1102 | train/epoch_156/ex cccccccc cccccccc
1103 | train/epoch_156{1.27s}
1104 | train/epoch_157/loss 5.4544
1105 | train/epoch_157/ex cecec cecee
1106 | train/epoch_157/ex jjj jjj
1107 | train/epoch_157/ex jj jj
1108 | train/epoch_157/ex fffff fffff
1109 | train/epoch_157/ex gggggg gggggg
1110 | train/epoch_157{1.27s}
1111 | train/epoch_158/loss 5.1598
1112 | train/epoch_158/ex ggggg ggggg
1113 | train/epoch_158/ex ddd ddd
1114 | train/epoch_158/ex ef ej
1115 | train/epoch_158/ex jdjj cjjd
1116 | train/epoch_158/ex iiiii iiiii
1117 | train/epoch_158{1.30s}
1118 | train/epoch_159/loss 5.4419
1119 | train/epoch_159/ex fggf fcff
1120 | train/epoch_159/ex jj jj
1121 | train/epoch_159/ex jj jj
1122 | train/epoch_159/ex iiiif iigii
1123 | train/epoch_159/ex aaa aaa
1124 | train/epoch_159{1.26s}
1125 | train/epoch_160/loss 5.5807
1126 | train/epoch_160/ex gggg gggg
1127 | train/epoch_160/ex aabaaab bababbb
1128 | train/epoch_160/ex ia ai
1129 | train/epoch_160/ex ccdccdd ddcdcdd
1130 | train/epoch_160/ex jjj jjj
1131 | train/epoch_160{1.24s}
1132 | train/epoch_161/loss 5.1813
1133 | train/epoch_161/ex iai iai
1134 | train/epoch_161/ex ddh ddi
1135 | train/epoch_161/ex e f
1136 | train/epoch_161/ex hhh hhh
1137 | train/epoch_161/ex iiiia iiiih
1138 | train/epoch_161{1.25s}
1139 | train/epoch_162/loss 5.3061
1140 | train/epoch_162/ex b g
1141 | train/epoch_162/ex aaaaa aaaaa
1142 | train/epoch_162/ex jjj bbb
1143 | train/epoch_162/ex eed dde
1144 | train/epoch_162/ex eegg ggee
1145 | train/epoch_162{1.29s}
1146 | train/epoch_163/loss 5.3052
1147 | train/epoch_163/ex i j
1148 | train/epoch_163/ex dd dd
1149 | train/epoch_163/ex gggggg gggggg
1150 | train/epoch_163/ex jejej fjeej
1151 | train/epoch_163/ex jjjje jjjje
1152 | train/epoch_163{1.26s}
1153 | train/epoch_164/loss 5.3230
1154 | Epoch   164: reducing learning rate of group 0 to 6.2500e-05.
1155 | train/epoch_164/ex eeeee eeeee
1156 | train/epoch_164/ex hj ih
1157 | train/epoch_164/ex ic bh
1158 | train/epoch_164/ex iic iie
1159 | train/epoch_164/ex i j
1160 | train/epoch_164{1.26s}
1161 | train/epoch_165/loss 5.2181
1162 | train/epoch_165/ex bbbb bbbb
1163 | train/epoch_165/ex gggggg gggggg
1164 | train/epoch_165/ex hhihh aaiih
1165 | train/epoch_165/ex aaaaa aaaaa
1166 | train/epoch_165/ex gggg gggg
1167 | train/epoch_165{1.25s}
1168 | train/epoch_166/loss 5.1452
1169 | train/epoch_166/ex jjajj jjgjj
1170 | train/epoch_166/ex igi gig
1171 | train/epoch_166/ex hhd jhh
1172 | train/epoch_166/ex gggggg gggggg
1173 | train/epoch_166/ex iii iii
1174 | train/epoch_166{1.26s}
1175 | train/epoch_167/loss 4.9266
1176 | train/epoch_167/ex jd jd
1177 | train/epoch_167/ex jjj jjj
1178 | train/epoch_167/ex eeaeeea aaaaeae
1179 | train/epoch_167/ex aa aa
1180 | train/epoch_167/ex aag ggj
1181 | train/epoch_167{1.31s}
1182 | train/epoch_168/loss 5.2572
1183 | train/epoch_168/ex ggjg ggfe
1184 | train/epoch_168/ex bccb dbdd
1185 | train/epoch_168/ex aaaaa aaaaa
1186 | train/epoch_168/ex aaa aaa
1187 | train/epoch_168/ex hh hh
1188 | train/epoch_168{1.31s}
1189 | train/epoch_169/loss 5.2025
1190 | train/epoch_169/ex ddh hdd
1191 | train/epoch_169/ex fff fff
1192 | train/epoch_169/ex ggh igg
1193 | train/epoch_169/ex c i
1194 | train/epoch_169/ex gga gga
1195 | train/epoch_169{1.26s}
1196 | train/epoch_170/loss 5.5033
1197 | train/epoch_170/ex c e
1198 | train/epoch_170/ex eeeae eeeae
1199 | train/epoch_170/ex gdgdg egeeg
1200 | train/epoch_170/ex gggg gggg
1201 | train/epoch_170/ex eje jaj
1202 | train/epoch_170{1.29s}
1203 | train/epoch_171/loss 4.7844
1204 | train/epoch_171/ex beeb beeb
1205 | train/epoch_171/ex hhhhh hhhhh
1206 | train/epoch_171/ex gggggg gggggg
1207 | train/epoch_171/ex g d
1208 | train/epoch_171/ex ch be
1209 | train/epoch_171{1.25s}
1210 | train/epoch_172/loss 5.1988
1211 | train/epoch_172/ex hhih jiih
1212 | train/epoch_172/ex b j
1213 | train/epoch_172/ex jjej ejee
1214 | train/epoch_172/ex eeb gee
1215 | train/epoch_172/ex ffffffff ffffffff
1216 | train/epoch_172{1.28s}
1217 | train/epoch_173/loss 5.0899
1218 | train/epoch_173/ex jjje jjji
1219 | train/epoch_173/ex iic gii
1220 | train/epoch_173/ex diiddiiid iidididdd
1221 | train/epoch_173/ex jjjjj ijjjj
1222 | train/epoch_173/ex hdhhdh hddgdh
1223 | train/epoch_173{1.29s}
1224 | train/epoch_174/loss 5.1988
1225 | train/epoch_174/ex hd ah
1226 | train/epoch_174/ex fff jdd
1227 | train/epoch_174/ex aaaa bbbb
1228 | train/epoch_174/ex ddg ddb
1229 | train/epoch_174/ex eeee eeee
1230 | train/epoch_174{1.27s}
1231 | train/epoch_175/loss 4.8534
1232 | Epoch   175: reducing learning rate of group 0 to 3.1250e-05.
1233 | train/epoch_175/ex eee eee
1234 | train/epoch_175/ex e g
1235 | train/epoch_175/ex ddd ddd
1236 | train/epoch_175/ex ddc ddc
1237 | train/epoch_175/ex cc bb
1238 | train/epoch_175{1.27s}
1239 | train/epoch_176/loss 5.3783
1240 | train/epoch_176/ex dh ch
1241 | train/epoch_176/ex accaa accca
1242 | train/epoch_176/ex be eb
1243 | train/epoch_176/ex fffff fffff
1244 | train/epoch_176/ex aaa aaa
1245 | train/epoch_176{1.26s}
1246 | train/epoch_177/loss 5.3563
1247 | train/epoch_177/ex bbbbb bbbbb
1248 | train/epoch_177/ex cccc cccc
1249 | train/epoch_177/ex bi dj
1250 | train/epoch_177/ex gggg gggi
1251 | train/epoch_177/ex fff fff
1252 | train/epoch_177{1.24s}
1253 | train/epoch_178/loss 5.2602
1254 | train/epoch_178/ex iia aai
1255 | train/epoch_178/ex aaa aaa
1256 | train/epoch_178/ex e b
1257 | train/epoch_178/ex jdj jcj
1258 | train/epoch_178/ex jj jj
1259 | train/epoch_178{1.29s}
1260 | train/epoch_179/loss 5.1049
1261 | train/epoch_179/ex hhch aaca
1262 | train/epoch_179/ex iiii iiii
1263 | train/epoch_179/ex bd db
1264 | train/epoch_179/ex d d
1265 | train/epoch_179/ex fe ge
1266 | train/epoch_179{1.25s}
1267 | train/epoch_180/loss 4.9885
1268 | train/epoch_180/ex hhhhh hhhhh
1269 | train/epoch_180/ex eege ggeg
1270 | train/epoch_180/ex ecec cece
1271 | train/epoch_180/ex hdhhdhhhdd dhhhhdhdhh
1272 | train/epoch_180/ex gggggg gggggg
1273 | train/epoch_180{1.27s}
1274 | train/epoch_181/loss 5.5772
1275 | train/epoch_181/ex bbbbbbb bbbbbbb
1276 | train/epoch_181/ex aafa afaa
1277 | train/epoch_181/ex ddgg ggdd
1278 | train/epoch_181/ex gg gg
1279 | train/epoch_181/ex bc cf
1280 | train/epoch_181{1.26s}
1281 | train/epoch_182/loss 4.9859
1282 | train/epoch_182/ex jaj aja
1283 | train/epoch_182/ex jjf jjf
1284 | train/epoch_182/ex fafafafa cafaafaf
1285 | train/epoch_182/ex aaa aaa
1286 | train/epoch_182/ex jjii jiii
1287 | train/epoch_182{1.31s}
1288 | train/epoch_183/loss 5.1117
1289 | train/epoch_183/ex cc cc
1290 | train/epoch_183/ex iei ije
1291 | train/epoch_183/ex cccc eeee
1292 | train/epoch_183/ex eg ge
1293 | train/epoch_183/ex eec ecc
1294 | train/epoch_183{1.27s}
1295 | train/epoch_184/loss 5.3804
1296 | train/epoch_184/ex ea ae
1297 | train/epoch_184/ex ai ag
1298 | train/epoch_184/ex hh hh
1299 | train/epoch_184/ex ei ei
1300 | train/epoch_184/ex bfb fbg
1301 | train/epoch_184{1.27s}
1302 | train/epoch_185/loss 5.1830
1303 | train/epoch_185/ex icic ieic
1304 | train/epoch_185/ex aaaa aaaa
1305 | train/epoch_185/ex dhd dih
1306 | train/epoch_185/ex aaaaa aaaaa
1307 | train/epoch_185/ex hhdhh dhhdd
1308 | train/epoch_185{1.24s}
1309 | train/epoch_186/loss 5.3116
1310 | Epoch   186: reducing learning rate of group 0 to 1.5625e-05.
1311 | train/epoch_186/ex ccc ccc
1312 | train/epoch_186/ex cbj jcj
1313 | train/epoch_186/ex d d
1314 | train/epoch_186/ex hhj ddj
1315 | train/epoch_186/ex ddh hhc
1316 | train/epoch_186{1.28s}
1317 | train/epoch_187/loss 5.0081
1318 | train/epoch_187/ex daadda ddadda
1319 | train/epoch_187/ex bd bd
1320 | train/epoch_187/ex bc cb
1321 | train/epoch_187/ex ia di
1322 | train/epoch_187/ex didi didi
1323 | train/epoch_187{1.27s}
1324 | train/epoch_188/loss 5.7458
1325 | train/epoch_188/ex fffffffdfff ffffffdffff
1326 | train/epoch_188/ex eeieei ieeiee
1327 | train/epoch_188/ex ggfg ggfg
1328 | train/epoch_188/ex cccccee eeeeeaa
1329 | train/epoch_188/ex aaaaaaaf aaacaaaa
1330 | train/epoch_188{1.30s}
1331 | train/epoch_189/loss 5.5837
1332 | train/epoch_189/ex bbd ddb
1333 | train/epoch_189/ex fff fff
1334 | train/epoch_189/ex cb gb
1335 | train/epoch_189/ex ddiddii ddidddi
1336 | train/epoch_189/ex ga ig
1337 | train/epoch_189{1.27s}
1338 | train/epoch_190/loss 5.5785
1339 | train/epoch_190/ex hhhhhhh hhhhhhh
1340 | train/epoch_190/ex bbb bbb
1341 | train/epoch_190/ex eiei ieie
1342 | train/epoch_190/ex iiiiiiif iiiiiiif
1343 | train/epoch_190/ex hhhhf hhhhi
1344 | train/epoch_190{1.23s}
1345 | train/epoch_191/loss 5.1677
1346 | train/epoch_191/ex ddddh dddjd
1347 | train/epoch_191/ex ddd ddd
1348 | train/epoch_191/ex ibi bdi
1349 | train/epoch_191/ex aae aac
1350 | train/epoch_191/ex g g
1351 | train/epoch_191{1.27s}
1352 | train/epoch_192/loss 5.1850
1353 | train/epoch_192/ex aaaa aaaa
1354 | train/epoch_192/ex ei eh
1355 | train/epoch_192/ex hhhhhh hhhhhh
1356 | train/epoch_192/ex gge agg
1357 | train/epoch_192/ex giigi ggdig
1358 | train/epoch_192{1.27s}
1359 | train/epoch_193/loss 5.2440
1360 | train/epoch_193/ex iii iii
1361 | train/epoch_193/ex hhhhhh hhhhhh
1362 | train/epoch_193/ex d h
1363 | train/epoch_193/ex aaaaaaa aaaaaaa
1364 | train/epoch_193/ex i h
1365 | train/epoch_193{1.23s}
1366 | train/epoch_194/loss 5.6167
1367 | train/epoch_194/ex eb ge
1368 | train/epoch_194/ex d d
1369 | train/epoch_194/ex cccc cccc
1370 | train/epoch_194/ex beeb bffe
1371 | train/epoch_194/ex eejj jjee
1372 | train/epoch_194{1.26s}
1373 | train/epoch_195/loss 5.3146
1374 | train/epoch_195/ex eeege egeee
1375 | train/epoch_195/ex ebeeb ebeeb
1376 | train/epoch_195/ex iigiiig eigggii
1377 | train/epoch_195/ex eeeeee eeeeee
1378 | train/epoch_195/ex hh bb
1379 | train/epoch_195{1.29s}
1380 | train/epoch_196/loss 5.2539
1381 | train/epoch_196/ex gggb bggg
1382 | train/epoch_196/ex ii ii
1383 | train/epoch_196/ex gggg gggg
1384 | train/epoch_196/ex efefef feeffe
1385 | train/epoch_196/ex ddd ddd
1386 | train/epoch_196{1.29s}
1387 | train/epoch_197/loss 5.4117
1388 | Epoch   197: reducing learning rate of group 0 to 7.8125e-06.
1389 | train/epoch_197/ex hhe fhh
1390 | train/epoch_197/ex bbbbbb bbbbbb
1391 | train/epoch_197/ex bbbbb bbbbb
1392 | train/epoch_197/ex ggiig giigg
1393 | train/epoch_197/ex cch cch
1394 | train/epoch_197{1.25s}
1395 | train/epoch_198/loss 5.2192
1396 | train/epoch_198/ex bbbbbb bbbbbb
1397 | train/epoch_198/ex e h
1398 | train/epoch_198/ex ggghg ggghh
1399 | train/epoch_198/ex jjjjjjjj jjjjjjjj
1400 | train/epoch_198/ex b j
1401 | train/epoch_198{1.26s}
1402 | train/epoch_199/loss 5.1540
1403 | train/epoch_199/ex jccj jcce
1404 | train/epoch_199/ex ai ih
1405 | train/epoch_199/ex eeeeeee eeeeeee
1406 | train/epoch_199/ex ccf hcc
1407 | train/epoch_199/ex fffg fggg
1408 | train/epoch_199{1.25s}
1409 | train/epoch_200/loss 5.0232
1410 | train/epoch_200/ex eeeee eeeee
1411 | train/epoch_200/ex gjc gcj
1412 | train/epoch_200/ex ggjgg jjjgj
1413 | train/epoch_200/ex eeeed eeddd
1414 | train/epoch_200/ex hd hd
1415 | train/epoch_200{1.29s}
1416 | train/epoch_201/loss 5.5400
1417 | train/epoch_201/ex aae iaa
1418 | train/epoch_201/ex aia iai
1419 | train/epoch_201/ex h e
1420 | train/epoch_201/ex b i
1421 | train/epoch_201/ex hhhhhhhhhh hhhhhhhhhb
1422 | train/epoch_201{1.26s}
1423 | train/epoch_202/loss 5.1476
1424 | train/epoch_202/ex gf gb
1425 | train/epoch_202/ex jjjjjjjj jjjjjjjj
1426 | train/epoch_202/ex aaa aaa
1427 | train/epoch_202/ex eeejeeee jjjjejje
1428 | train/epoch_202/ex fffff fffff
1429 | train/epoch_202{1.26s}
1430 | train/epoch_203/loss 4.9573
1431 | train/epoch_203/ex hihhihihi hiihhiihi
1432 | train/epoch_203/ex bbbbe cbbbb
1433 | train/epoch_203/ex gbgbgb bggbgd
1434 | train/epoch_203/ex feef eefe
1435 | train/epoch_203/ex cccg ggcc
1436 | train/epoch_203{1.25s}
1437 | train/epoch_204/loss 4.7114
1438 | train/epoch_204/ex cc cc
1439 | train/epoch_204/ex gi gj
1440 | train/epoch_204/ex did idc
1441 | train/epoch_204/ex ddddh gdddd
1442 | train/epoch_204/ex aaf aac
1443 | train/epoch_204{1.30s}
1444 | train/epoch_205/loss 5.4390
1445 | train/epoch_205/ex haaaaaah ahhaaahh
1446 | train/epoch_205/ex bbbbbb bbbbbb
1447 | train/epoch_205/ex cbcb bcbc
1448 | train/epoch_205/ex efe efe
1449 | train/epoch_205/ex cccccccc cccccccc
1450 | train/epoch_205{1.26s}
1451 | train/epoch_206/loss 4.9031
1452 | train/epoch_206/ex d d
1453 | train/epoch_206/ex gggggggg gggggggg
1454 | train/epoch_206/ex ddd ddd
1455 | train/epoch_206/ex i e
1456 | train/epoch_206/ex ffi eff
1457 | train/epoch_206{1.23s}
1458 | train/epoch_207/loss 5.1592
1459 | train/epoch_207/ex hhhhhhh hhhhhhh
1460 | train/epoch_207/ex aaa aaa
1461 | train/epoch_207/ex jjee jjee
1462 | train/epoch_207/ex ggggd jgggg
1463 | train/epoch_207/ex ggg ggg
1464 | train/epoch_207{1.26s}
1465 | train/epoch_208/loss 5.5376
1466 | Epoch   208: reducing learning rate of group 0 to 3.9063e-06.
1467 | train/epoch_208/ex eeeea eeiee
1468 | train/epoch_208/ex gggggg gggggg
1469 | train/epoch_208/ex ffd dff
1470 | train/epoch_208/ex iii iii
1471 | train/epoch_208/ex eeeeee eeeeee
1472 | train/epoch_208{1.26s}
1473 | train/epoch_209/loss 5.0808
1474 | train/epoch_209/ex b f
1475 | train/epoch_209/ex hj bj
1476 | train/epoch_209/ex iei aia
1477 | train/epoch_209/ex g i
1478 | train/epoch_209/ex cc cc
1479 | train/epoch_209{1.28s}
1480 | train/epoch_210/loss 5.3517
1481 | train/epoch_210/ex hhhh hhhh
1482 | train/epoch_210/ex ed de
1483 | train/epoch_210/ex bbb bbb
1484 | train/epoch_210/ex bbb bbb
1485 | train/epoch_210/ex dd cc
1486 | train/epoch_210{1.29s}
1487 | train/epoch_211/loss 5.0591
1488 | train/epoch_211/ex iif gii
1489 | train/epoch_211/ex a a
1490 | train/epoch_211/ex ccc ccc
1491 | train/epoch_211/ex dh da
1492 | train/epoch_211/ex hhhh hhhh
1493 | train/epoch_211{1.22s}
1494 | train/epoch_212/loss 5.2907
1495 | train/epoch_212/ex bb bb
1496 | train/epoch_212/ex dccddc cddccd
1497 | train/epoch_212/ex iig gff
1498 | train/epoch_212/ex aj bg
1499 | train/epoch_212/ex ddj jdd
1500 | train/epoch_212{1.26s}
1501 | train/epoch_213/loss 5.2698
1502 | train/epoch_213/ex iiiiii iiiiii
1503 | train/epoch_213/ex iiii iiii
1504 | train/epoch_213/ex j a
1505 | train/epoch_213/ex cce fcc
1506 | train/epoch_213/ex cc cc
1507 | train/epoch_213{1.24s}
1508 | train/epoch_214/loss 5.0994
1509 | train/epoch_214/ex iaiai iaiai
1510 | train/epoch_214/ex iiiii iiiii
1511 | train/epoch_214/ex aaaa ffff
1512 | train/epoch_214/ex jjjje ejjjj
1513 | train/epoch_214/ex e j
1514 | train/epoch_214{1.34s}
1515 | train/epoch_215/loss 5.4496
1516 | train/epoch_215/ex iie iij
1517 | train/epoch_215/ex gd dh
1518 | train/epoch_215/ex aa aa
1519 | train/epoch_215/ex ccc ccc
1520 | train/epoch_215/ex cc cc
1521 | train/epoch_215{1.29s}
1522 | train/epoch_216/loss 5.3148
1523 | train/epoch_216/ex e e
1524 | train/epoch_216/ex ccccc ccccc
1525 | train/epoch_216/ex bbh abb
1526 | train/epoch_216/ex ii ii
1527 | train/epoch_216/ex fhhf hhfh
1528 | train/epoch_216{1.26s}
1529 | train/epoch_217/loss 5.2914
1530 | train/epoch_217/ex iib iih
1531 | train/epoch_217/ex e c
1532 | train/epoch_217/ex ggh igg
1533 | train/epoch_217/ex i j
1534 | train/epoch_217/ex aai iie
1535 | train/epoch_217{1.27s}
1536 | train/epoch_218/loss 5.2549
1537 | train/epoch_218/ex fc if
1538 | train/epoch_218/ex dccdcd ddccdc
1539 | train/epoch_218/ex g f
1540 | train/epoch_218/ex ccc ccc
1541 | train/epoch_218/ex b b
1542 | train/epoch_218{1.26s}
1543 | train/epoch_219/loss 5.4063
1544 | Epoch   219: reducing learning rate of group 0 to 1.9531e-06.
1545 | train/epoch_219/ex ddd ddd
1546 | train/epoch_219/ex cb bc
1547 | train/epoch_219/ex ccj jcc
1548 | train/epoch_219/ex g i
1549 | train/epoch_219/ex iii iii
1550 | train/epoch_219{1.28s}
1551 | train/epoch_220/loss 5.3781
1552 | train/epoch_220/ex dddde dddde
1553 | train/epoch_220/ex dadad badaa
1554 | train/epoch_220/ex i b
1555 | train/epoch_220/ex bbbbb ccccc
1556 | train/epoch_220/ex cbb bcc
1557 | train/epoch_220{1.25s}
1558 | train/epoch_221/loss 5.0902
1559 | train/epoch_221/ex bccb bccb
1560 | train/epoch_221/ex gg cc
1561 | train/epoch_221/ex gj gb
1562 | train/epoch_221/ex aaa aaa
1563 | train/epoch_221/ex jjgjj gggjg
1564 | train/epoch_221{1.27s}
1565 | train/epoch_222/loss 5.2141
1566 | train/epoch_222/ex ffjjf jjjfc
1567 | train/epoch_222/ex c j
1568 | train/epoch_222/ex ec ec
1569 | train/epoch_222/ex h a
1570 | train/epoch_222/ex hddh dhhd
1571 | train/epoch_222{1.28s}
1572 | train/epoch_223/loss 5.3852
1573 | train/epoch_223/ex j j
1574 | train/epoch_223/ex iiiii iiiig
1575 | train/epoch_223/ex e d
1576 | train/epoch_223/ex ic ec
1577 | train/epoch_223/ex eee eee
1578 | train/epoch_223{1.27s}
1579 | train/epoch_224/loss 5.3861
1580 | train/epoch_224/ex ffd ffc
1581 | train/epoch_224/ex aga cga
1582 | train/epoch_224/ex jjjjjjjj jjjjjjjj
1583 | train/epoch_224/ex haha haha
1584 | train/epoch_224/ex jja bjj
1585 | train/epoch_224{1.27s}
1586 | train/epoch_225/loss 5.2511
1587 | train/epoch_225/ex a a
1588 | train/epoch_225/ex ddddddd ddddddd
1589 | train/epoch_225/ex jji jii
1590 | train/epoch_225/ex ecce cecc
1591 | train/epoch_225/ex g i
1592 | train/epoch_225{1.25s}
1593 | train/epoch_226/loss 5.5886
1594 | train/epoch_226/ex ie ie
1595 | train/epoch_226/ex ijiijij ijijjji
1596 | train/epoch_226/ex hh hh
1597 | train/epoch_226/ex jjjjjjj jjjjjjj
1598 | train/epoch_226/ex b c
1599 | train/epoch_226{1.28s}
1600 | train/epoch_227/loss 5.7044
1601 | train/epoch_227/ex eeaee eeaae
1602 | train/epoch_227/ex c a
1603 | train/epoch_227/ex ae ag
1604 | train/epoch_227/ex e c
1605 | train/epoch_227/ex hhh ccc
1606 | train/epoch_227{1.25s}
1607 | train/epoch_228/loss 5.3983
1608 | train/epoch_228/ex cec cec
1609 | train/epoch_228/ex hhhhh hhhhh
1610 | train/epoch_228/ex hhhf hfff
1611 | train/epoch_228/ex eee eee
1612 | train/epoch_228/ex fffhh ffhhh
1613 | train/epoch_228{1.28s}
1614 | train/epoch_229/loss 5.2070
1615 | train/epoch_229/ex iiid aaii
1616 | train/epoch_229/ex ddf ddb
1617 | train/epoch_229/ex c c
1618 | train/epoch_229/ex je fj
1619 | train/epoch_229/ex bccb ibbe
1620 | train/epoch_229{1.27s}
1621 | train/epoch_230/loss 5.3275
1622 | Epoch   230: reducing learning rate of group 0 to 9.7656e-07.
1623 | train/epoch_230/ex b c
1624 | train/epoch_230/ex aaaaa aaaaa
1625 | train/epoch_230/ex eeeee eeeee
1626 | train/epoch_230/ex g i
1627 | train/epoch_230/ex ii ii
1628 | train/epoch_230{1.30s}
1629 | train/epoch_231/loss 5.1923
1630 | train/epoch_231/ex ggg ggg
1631 | train/epoch_231/ex j b
1632 | train/epoch_231/ex j f
1633 | train/epoch_231/ex jjje jjje
1634 | train/epoch_231/ex eed dde
1635 | train/epoch_231{1.26s}
1636 | train/epoch_232/loss 5.1092
1637 | train/epoch_232/ex jjbbj jjbjj
1638 | train/epoch_232/ex d e
1639 | train/epoch_232/ex eee eee
1640 | train/epoch_232/ex ddii dhii
1641 | train/epoch_232/ex fff fff
1642 | train/epoch_232{1.26s}
1643 | train/epoch_233/loss 5.5429
1644 | train/epoch_233/ex hhhhhh hhhhhh
1645 | train/epoch_233/ex aaaae eaaaa
1646 | train/epoch_233/ex ggb igg
1647 | train/epoch_233/ex cccg hggg
1648 | train/epoch_233/ex iii iii
1649 | train/epoch_233{1.29s}
1650 | train/epoch_234/loss 5.5095
1651 | train/epoch_234/ex dd dd
1652 | train/epoch_234/ex ggg ggg
1653 | train/epoch_234/ex hehheheh hehhhhhe
1654 | train/epoch_234/ex eef aee
1655 | train/epoch_234/ex bbb bbb
1656 | train/epoch_234{1.30s}
1657 | train/epoch_235/loss 5.0791
1658 | train/epoch_235/ex jbbbbj bbbjbj
1659 | train/epoch_235/ex gfgf gaha
1660 | train/epoch_235/ex hhhhhhh hhhhhhh
1661 | train/epoch_235/ex ja ai
1662 | train/epoch_235/ex bbbbbbb bbbbbbb
1663 | train/epoch_235{1.23s}
1664 | train/epoch_236/loss 5.7261
1665 | train/epoch_236/ex gb bh
1666 | train/epoch_236/ex eee eee
1667 | train/epoch_236/ex jd jb
1668 | train/epoch_236/ex jjjjjj jjjjjj
1669 | train/epoch_236/ex cc cc
1670 | train/epoch_236{1.28s}
1671 | train/epoch_237/loss 5.5262
1672 | train/epoch_237/ex gd di
1673 | train/epoch_237/ex ab bg
1674 | train/epoch_237/ex eeej eejj
1675 | train/epoch_237/ex aaaj jaaa
1676 | train/epoch_237/ex cccccccc jjjjjjjj
1677 | train/epoch_237{1.30s}
1678 | train/epoch_238/loss 5.4254
1679 | train/epoch_238/ex dcdcd acdac
1680 | train/epoch_238/ex dddddd dddddd
1681 | train/epoch_238/ex cggc cggc
1682 | train/epoch_238/ex aca cdc
1683 | train/epoch_238/ex fffff fffff
1684 | train/epoch_238{1.25s}
1685 | train/epoch_239/loss 5.4764
1686 | train/epoch_239/ex cccfc chccc
1687 | train/epoch_239/ex bbb bbb
1688 | train/epoch_239/ex d h
1689 | train/epoch_239/ex hbhbh hghbh
1690 | train/epoch_239/ex fada fdaf
1691 | train/epoch_239{1.27s}
1692 | train/epoch_240/loss 5.4601
1693 | train/epoch_240/ex i j
1694 | train/epoch_240/ex d d
1695 | train/epoch_240/ex iiiii iiiii
1696 | train/epoch_240/ex jej cje
1697 | train/epoch_240/ex bbgg eegg
1698 | train/epoch_240{1.30s}
1699 | train/epoch_241/loss 5.5127
1700 | Epoch   241: reducing learning rate of group 0 to 4.8828e-07.
1701 | train/epoch_241/ex aa jj
1702 | train/epoch_241/ex ggg ggg
1703 | train/epoch_241/ex cjh dcj
1704 | train/epoch_241/ex dd cc
1705 | train/epoch_241/ex iih iig
1706 | train/epoch_241{1.25s}
1707 | train/epoch_242/loss 4.8979
1708 | train/epoch_242/ex b j
1709 | train/epoch_242/ex jdj jhj
1710 | train/epoch_242/ex aaa aaa
1711 | train/epoch_242/ex eed jje
1712 | train/epoch_242/ex hhha hhha
1713 | train/epoch_242{1.28s}
1714 | train/epoch_243/loss 5.4021
1715 | train/epoch_243/ex ffffjff fffjfff
1716 | train/epoch_243/ex hhhhf hbhhh
1717 | train/epoch_243/ex jaajja jjjajd
1718 | train/epoch_243/ex jjjjjjj jjjjjjj
1719 | train/epoch_243/ex h h
1720 | train/epoch_243{1.25s}
1721 | train/epoch_244/loss 4.6780
1722 | train/epoch_244/ex gggggg gggggg
1723 | train/epoch_244/ex fd fd
1724 | train/epoch_244/ex ij if
1725 | train/epoch_244/ex jjjjjj jjjjjj
1726 | train/epoch_244/ex bh dh
1727 | train/epoch_244{1.26s}
1728 | train/epoch_245/loss 5.1940
1729 | train/epoch_245/ex bbjbbj bjfejj
1730 | train/epoch_245/ex cg cg
1731 | train/epoch_245/ex fddfd ffdjd
1732 | train/epoch_245/ex hh hh
1733 | train/epoch_245/ex cbc bcb
1734 | train/epoch_245{1.24s}
1735 | train/epoch_246/loss 5.2351
1736 | train/epoch_246/ex ba db
1737 | train/epoch_246/ex fdfdf ddfdf
1738 | train/epoch_246/ex eeeeg eeeeg
1739 | train/epoch_246/ex cg cg
1740 | train/epoch_246/ex beb beb
1741 | train/epoch_246{1.28s}
1742 | train/epoch_247/loss 4.7677
1743 | train/epoch_247/ex jj ee
1744 | train/epoch_247/ex h d
1745 | train/epoch_247/ex e a
1746 | train/epoch_247/ex aaa aaa
1747 | train/epoch_247/ex fccfcf fcifcc
1748 | train/epoch_247{1.29s}
1749 | train/epoch_248/loss 5.1935
1750 | train/epoch_248/ex babbaba bbdadbc
1751 | train/epoch_248/ex ei ef
1752 | train/epoch_248/ex jajaj jajja
1753 | train/epoch_248/ex fc ef
1754 | train/epoch_248/ex ggbg dfgg
1755 | train/epoch_248{1.26s}
1756 | train/epoch_249/loss 5.5594
1757 | train/epoch_249/ex dddddd dddddd
1758 | train/epoch_249/ex aaif afaa
1759 | train/epoch_249/ex ddd ddd
1760 | train/epoch_249/ex gga gga
1761 | train/epoch_249/ex g i
1762 | train/epoch_249{1.26s}
1763 | train/epoch_250/loss 5.5036
1764 | train/epoch_250/ex e e
1765 | train/epoch_250/ex gggg gggg
1766 | train/epoch_250/ex ac af
1767 | train/epoch_250/ex i f
1768 | train/epoch_250/ex eefe aeff
1769 | train/epoch_250{1.28s}
1770 | train/epoch_251/loss 5.1481
1771 | train/epoch_251/ex ffffff ffffff
1772 | train/epoch_251/ex ggggag ggggcg
1773 | train/epoch_251/ex gfg fgf
1774 | train/epoch_251/ex gg gg
1775 | train/epoch_251/ex iiiii iiiii
1776 | train/epoch_251{1.28s}
1777 | train/epoch_252/loss 5.4657
1778 | train/epoch_252/ex bbbbbb bbbbbb
1779 | train/epoch_252/ex hhh hhh
1780 | train/epoch_252/ex b f
1781 | train/epoch_252/ex aaff fffb
1782 | train/epoch_252/ex i f
1783 | train/epoch_252{1.27s}
1784 | train/epoch_253/loss 5.6542
1785 | train/epoch_253/ex j b
1786 | train/epoch_253/ex jjj jjj
1787 | train/epoch_253/ex eeb jjg
1788 | train/epoch_253/ex iiiiiii iiiiiii
1789 | train/epoch_253/ex ba bc
1790 | train/epoch_253{1.25s}
1791 | train/epoch_254/loss 5.5091
1792 | train/epoch_254/ex bbbbe ebbbb
1793 | train/epoch_254/ex icciicc cicciic
1794 | train/epoch_254/ex jjj jjj
1795 | train/epoch_254/ex jjcjjjjjj cjjjjjjcc
1796 | train/epoch_254/ex ab ab
1797 | train/epoch_254{1.24s}
1798 | train/epoch_255/loss 5.3215
1799 | Epoch   255: reducing learning rate of group 0 to 2.4414e-07.
1800 | train/epoch_255/ex ej dj
1801 | train/epoch_255/ex ccdcccdcdc dccdddccdc
1802 | train/epoch_255/ex hhhhh hhhhh
1803 | train/epoch_255/ex ia gb
1804 | train/epoch_255/ex e i
1805 | train/epoch_255{1.28s}
1806 | train/epoch_256/loss 5.2321
1807 | train/epoch_256/ex dddddh dddddh
1808 | train/epoch_256/ex eeaee aaeaa
1809 | train/epoch_256/ex g g
1810 | train/epoch_256/ex cc cc
1811 | train/epoch_256/ex cbbbbb bcccbb
1812 | train/epoch_256{1.29s}
1813 | train/epoch_257/loss 5.3356
1814 | train/epoch_257/ex ih ih
1815 | train/epoch_257/ex ce cb
1816 | train/epoch_257/ex d h
1817 | train/epoch_257/ex hhhh hhhh
1818 | train/epoch_257/ex ffjj fffj
1819 | train/epoch_257{1.26s}
1820 | train/epoch_258/loss 4.7755
1821 | train/epoch_258/ex cc bb
1822 | train/epoch_258/ex ddddedd ddddedd
1823 | train/epoch_258/ex e h
1824 | train/epoch_258/ex gggggg gggggg
1825 | train/epoch_258/ex e d
1826 | train/epoch_258{1.28s}
1827 | train/epoch_259/loss 5.1965
1828 | train/epoch_259/ex bbbbbba bbbbabb
1829 | train/epoch_259/ex gd db
1830 | train/epoch_259/ex bbbb bbbb
1831 | train/epoch_259/ex aaa aaa
1832 | train/epoch_259/ex ccccc cccch
1833 | train/epoch_259{1.25s}
1834 | train/epoch_260/loss 5.4111
1835 | train/epoch_260/ex iiib iiif
1836 | train/epoch_260/ex bb bb
1837 | train/epoch_260/ex hhh fff
1838 | train/epoch_260/ex cc cc
1839 | train/epoch_260/ex eaeeaea egaeeea
1840 | train/epoch_260{1.33s}
1841 | train/epoch_261/loss 5.2273
1842 | train/epoch_261/ex iiiiiii iiiiiii
1843 | train/epoch_261/ex beebbeb ebeebee
1844 | train/epoch_261/ex jjh jjh
1845 | train/epoch_261/ex jjjh jjjh
1846 | train/epoch_261/ex iii iii
1847 | train/epoch_261{1.26s}
1848 | train/epoch_262/loss 5.3265
1849 | train/epoch_262/ex a d
1850 | train/epoch_262/ex aac cce
1851 | train/epoch_262/ex eaeae beiei
1852 | train/epoch_262/ex bfffffbf fbfbbbff
1853 | train/epoch_262/ex jcj bcb
1854 | train/epoch_262{1.25s}
1855 | train/epoch_263/loss 5.5598
1856 | train/epoch_263/ex bbbbbb bbbbbb
1857 | train/epoch_263/ex b g
1858 | train/epoch_263/ex ffiii ffiff
1859 | train/epoch_263/ex hhh hhh
1860 | train/epoch_263/ex ffffffff ffffffff
1861 | train/epoch_263{1.29s}
1862 | train/epoch_264/loss 5.4356
1863 | train/epoch_264/ex ie ei
1864 | train/epoch_264/ex a c
1865 | train/epoch_264/ex hhha hhii
1866 | train/epoch_264/ex jjjjjjj jjjjjjj
1867 | train/epoch_264/ex bdi bdi
1868 | train/epoch_264{1.26s}
1869 | train/epoch_265/loss 5.2521
1870 | train/epoch_265/ex ggggjgggcg fcggcfgccc
1871 | train/epoch_265/ex fffif bffbb
1872 | train/epoch_265/ex e f
1873 | train/epoch_265/ex d d
1874 | train/epoch_265/ex ebeb egec
1875 | train/epoch_265{1.31s}
1876 | train/epoch_266/loss 5.0254
1877 | Epoch   266: reducing learning rate of group 0 to 1.2207e-07.
1878 | train/epoch_266/ex iiiii iiiii
1879 | train/epoch_266/ex cjc cji
1880 | train/epoch_266/ex ddd ddd
1881 | train/epoch_266/ex dggdddd ggdgggd
1882 | train/epoch_266/ex giigii igiiig
1883 | train/epoch_266{1.27s}
1884 | train/epoch_267/loss 5.1152
1885 | train/epoch_267/ex bbbbb bbbbb
1886 | train/epoch_267/ex b e
1887 | train/epoch_267/ex iiiiiih iiiiiih
1888 | train/epoch_267/ex cccf cfff
1889 | train/epoch_267/ex ccgg ccgg
1890 | train/epoch_267{1.28s}
1891 | train/epoch_268/loss 4.9526
1892 | train/epoch_268/ex gg cc
1893 | train/epoch_268/ex ec eg
1894 | train/epoch_268/ex dg dg
1895 | train/epoch_268/ex fff fff
1896 | train/epoch_268/ex fafa afaf
1897 | train/epoch_268{1.27s}
1898 | train/epoch_269/loss 5.3438
1899 | train/epoch_269/ex d h
1900 | train/epoch_269/ex bbbbbbbb bbbbbbbb
1901 | train/epoch_269/ex gj fj
1902 | train/epoch_269/ex adada aiiad
1903 | train/epoch_269/ex bi gb
1904 | train/epoch_269{1.28s}
1905 | train/epoch_270/loss 4.9941
1906 | train/epoch_270/ex ihi iaf
1907 | train/epoch_270/ex fcfc fcfa
1908 | train/epoch_270/ex ggg ggg
1909 | train/epoch_270/ex d a
1910 | train/epoch_270/ex jjjdjjd jjdjjjd
1911 | train/epoch_270{1.28s}
1912 | train/epoch_271/loss 5.0858
1913 | train/epoch_271/ex jjjjjjjj fjjjjjjj
1914 | train/epoch_271/ex ccaac aacff
1915 | train/epoch_271/ex fffffd ffbbff
1916 | train/epoch_271/ex aaa aaa
1917 | train/epoch_271/ex hhjjhhj jjhhhjg
1918 | train/epoch_271{1.27s}
1919 | train/epoch_272/loss 5.0796
1920 | train/epoch_272/ex je bj
1921 | train/epoch_272/ex gd df
1922 | train/epoch_272/ex bbbbb bbbbb
1923 | train/epoch_272/ex bbb bbb
1924 | train/epoch_272/ex hhj hhj
1925 | train/epoch_272{1.28s}
1926 | train/epoch_273/loss 5.1146
1927 | train/epoch_273/ex fd cd
1928 | train/epoch_273/ex bbe bbf
1929 | train/epoch_273/ex j a
1930 | train/epoch_273/ex eeeeei eeeeie
1931 | train/epoch_273/ex eeeeh heeee
1932 | train/epoch_273{1.25s}
1933 | train/epoch_274/loss 5.0802
1934 | train/epoch_274/ex aaaaa aaaaa
1935 | train/epoch_274/ex jjjjj jjjjj
1936 | train/epoch_274/ex ggg ggg
1937 | train/epoch_274/ex ddddddd ddddddd
1938 | train/epoch_274/ex bbba bbbd
1939 | train/epoch_274{1.25s}
1940 | train/epoch_275/loss 5.5460
1941 | train/epoch_275/ex eeeeeee eeeeeee
1942 | train/epoch_275/ex d a
1943 | train/epoch_275/ex hhh hhh
1944 | train/epoch_275/ex jjjji jjjii
1945 | train/epoch_275/ex gc cj
1946 | train/epoch_275{1.28s}
1947 | train/epoch_276/loss 5.2379
1948 | train/epoch_276/ex h e
1949 | train/epoch_276/ex eeejee ejeeee
1950 | train/epoch_276/ex eae ead
1951 | train/epoch_276/ex iiiiii iiiiii
1952 | train/epoch_276/ex eegg ggge
1953 | train/epoch_276{1.29s}
1954 | train/epoch_277/loss 5.6893
1955 | Epoch   277: reducing learning rate of group 0 to 6.1035e-08.
1956 | train/epoch_277/ex aaa jjj
1957 | train/epoch_277/ex fh ef
1958 | train/epoch_277/ex aaccaaa aacaaaa
1959 | train/epoch_277/ex iiiiiih iiihiii
1960 | train/epoch_277/ex bbbh bbbi
1961 | train/epoch_277{1.27s}
1962 | train/epoch_278/loss 5.3276
1963 | train/epoch_278/ex dde dde
1964 | train/epoch_278/ex ddddd ddddj
1965 | train/epoch_278/ex ggggcggg ggcggggg
1966 | train/epoch_278/ex jj jj
1967 | train/epoch_278/ex bbbbbb bbbbbb
1968 | train/epoch_278{1.25s}
1969 | train/epoch_279/loss 5.2399
1970 | train/epoch_279/ex hddh hddh
1971 | train/epoch_279/ex d e
1972 | train/epoch_279/ex fa bf
1973 | train/epoch_279/ex jg jg
1974 | train/epoch_279/ex aaaaa aaaaa
1975 | train/epoch_279{1.26s}
1976 | train/epoch_280/loss 5.1643
1977 | train/epoch_280/ex g j
1978 | train/epoch_280/ex h h
1979 | train/epoch_280/ex ig gi
1980 | train/epoch_280/ex hh hh
1981 | train/epoch_280/ex aaaaaaa aaaaaaa
1982 | train/epoch_280{1.25s}
1983 | train/epoch_281/loss 5.1157
1984 | train/epoch_281/ex djd dje
1985 | train/epoch_281/ex beeb feeb
1986 | train/epoch_281/ex ffe hff
1987 | train/epoch_281/ex bbbbb bbbbb
1988 | train/epoch_281/ex eeeeaeee eeeeefee
1989 | train/epoch_281{1.25s}
1990 | train/epoch_282/loss 5.2856
1991 | train/epoch_282/ex bbbc ebbb
1992 | train/epoch_282/ex iih iih
1993 | train/epoch_282/ex jccjj cjjcc
1994 | train/epoch_282/ex hh ee
1995 | train/epoch_282/ex de ed
1996 | train/epoch_282{1.25s}
1997 | train/epoch_283/loss 5.3017
1998 | train/epoch_283/ex aaa aaa
1999 | train/epoch_283/ex eeeee eeeee
2000 | train/epoch_283/ex eec cce
2001 | train/epoch_283/ex ddd ddd
2002 | train/epoch_283/ex jfjfj cfcfc
2003 | train/epoch_283{1.27s}
2004 | train/epoch_284/loss 5.6017
2005 | train/epoch_284/ex je gj
2006 | train/epoch_284/ex ddii diii
2007 | train/epoch_284/ex jjjjj jjjjd
2008 | train/epoch_284/ex eeehe eeiee
2009 | train/epoch_284/ex bbf bff
2010 | train/epoch_284{1.27s}
2011 | train/epoch_285/loss 5.3544
2012 | train/epoch_285/ex ddd ddd
2013 | train/epoch_285/ex hh hh
2014 | train/epoch_285/ex jjjfff jdffff
2015 | train/epoch_285/ex d d
2016 | train/epoch_285/ex ggg fff
2017 | train/epoch_285{1.24s}
2018 | train/epoch_286/loss 5.6557
2019 | train/epoch_286/ex d h
2020 | train/epoch_286/ex eee eee
2021 | train/epoch_286/ex fff fff
2022 | train/epoch_286/ex eeg gge
2023 | train/epoch_286/ex jjfjj fjjjf
2024 | train/epoch_286{1.26s}
2025 | train/epoch_287/loss 4.8377
2026 | train/epoch_287/ex fdfdf dfdfd
2027 | train/epoch_287/ex ie ie
2028 | train/epoch_287/ex i i
2029 | train/epoch_287/ex hj gh
2030 | train/epoch_287/ex iiii iiii
2031 | train/epoch_287{1.28s}
2032 | train/epoch_288/loss 5.2522
2033 | Epoch   288: reducing learning rate of group 0 to 3.0518e-08.
2034 | train/epoch_288/ex dddddd jjjjjj
2035 | train/epoch_288/ex ffff ffff
2036 | train/epoch_288/ex jajaj jjajb
2037 | train/epoch_288/ex i j
2038 | train/epoch_288/ex cccc cccc
2039 | train/epoch_288{1.28s}
2040 | train/epoch_289/loss 5.6880
2041 | train/epoch_289/ex bbbc bbbf
2042 | train/epoch_289/ex ib ih
2043 | train/epoch_289/ex fffff fffff
2044 | train/epoch_289/ex he eh
2045 | train/epoch_289/ex gf fh
2046 | train/epoch_289{1.28s}
2047 | train/epoch_290/loss 5.2706
2048 | train/epoch_290/ex e d
2049 | train/epoch_290/ex hhhg gggh
2050 | train/epoch_290/ex igigi ficii
2051 | train/epoch_290/ex bbb bbb
2052 | train/epoch_290/ex d d
2053 | train/epoch_290{1.27s}
2054 | train/epoch_291/loss 4.8553
2055 | train/epoch_291/ex jjjjj jjjjj
2056 | train/epoch_291/ex ddbb ddbb
2057 | train/epoch_291/ex aaa ddd
2058 | train/epoch_291/ex aaa aaj
2059 | train/epoch_291/ex hhh hhh
2060 | train/epoch_291{1.24s}
2061 | train/epoch_292/loss 4.8169
2062 | train/epoch_292/ex ddd ddd
2063 | train/epoch_292/ex ggggfg ggggfg
2064 | train/epoch_292/ex e e
2065 | train/epoch_292/ex jj jj
2066 | train/epoch_292/ex dh dh
2067 | train/epoch_292{1.26s}
2068 | train/epoch_293/loss 5.4846
2069 | train/epoch_293/ex bbbbib ibiiii
2070 | train/epoch_293/ex cchc cfcc
2071 | train/epoch_293/ex ddd hhh
2072 | train/epoch_293/ex ecce eeae
2073 | train/epoch_293/ex hhhh hhhh
2074 | train/epoch_293{1.29s}
2075 | train/epoch_294/loss 5.0858
2076 | train/epoch_294/ex d d
2077 | train/epoch_294/ex iai idi
2078 | train/epoch_294/ex aaaab acaaa
2079 | train/epoch_294/ex e e
2080 | train/epoch_294/ex eee eee
2081 | train/epoch_294{1.26s}
2082 | train/epoch_295/loss 5.4773
2083 | train/epoch_295/ex ccccc ccccc
2084 | train/epoch_295/ex e e
2085 | train/epoch_295/ex fif fif
2086 | train/epoch_295/ex gd dg
2087 | train/epoch_295/ex gh gh
2088 | train/epoch_295{1.26s}
2089 | train/epoch_296/loss 5.1608
2090 | train/epoch_296/ex j b
2091 | train/epoch_296/ex eeeeee eeeeee
2092 | train/epoch_296/ex ccj cch
2093 | train/epoch_296/ex ggg ggg
2094 | train/epoch_296/ex gggggg gggggg
2095 | train/epoch_296{1.27s}
2096 | train/epoch_297/loss 4.9794
2097 | train/epoch_297/ex da cd
2098 | train/epoch_297/ex jje jjb
2099 | train/epoch_297/ex hhhj hhhe
2100 | train/epoch_297/ex ggggj jjjjg
2101 | train/epoch_297/ex dde dde
2102 | train/epoch_297{1.27s}
2103 | train/epoch_298/loss 5.6060
2104 | train/epoch_298/ex iig eii
2105 | train/epoch_298/ex ff ff
2106 | train/epoch_298/ex ccc ccc
2107 | train/epoch_298/ex g g
2108 | train/epoch_298/ex hdhdhd ihhida
2109 | train/epoch_298{1.27s}
2110 | train/epoch_299/loss 5.2526
2111 | Epoch   299: reducing learning rate of group 0 to 1.5259e-08.
2112 | train/epoch_299/ex ff ff
2113 | train/epoch_299/ex eeg gaa
2114 | train/epoch_299/ex aaa aaa
2115 | train/epoch_299/ex g f
2116 | train/epoch_299/ex aaa ccc
2117 | train/epoch_299{1.27s}
2118 | train/epoch_300/loss 4.9922
2119 | train/epoch_300/ex hhj hjh
2120 | train/epoch_300/ex ccgcc cgccc
2121 | train/epoch_300/ex c c
2122 | train/epoch_300/ex ffg gff
2123 | train/epoch_300/ex eeee eeee
2124 | train/epoch_300{1.30s}
2125 | train/epoch_301/loss 5.2836
2126 | train/epoch_301/ex gh hg
2127 | train/epoch_301/ex ffcf ffcf
2128 | train/epoch_301/ex di ad
2129 | train/epoch_301/ex a i
2130 | train/epoch_301/ex fgfgf hfggf
2131 | train/epoch_301{1.27s}
2132 | train/epoch_302/loss 5.3875
2133 | train/epoch_302/ex b j
2134 | train/epoch_302/ex ei ed
2135 | train/epoch_302/ex jjbbj bjjbb
2136 | train/epoch_302/ex c c
2137 | train/epoch_302/ex iii iii
2138 | train/epoch_302{1.27s}
2139 | train/epoch_303/loss 5.4097
2140 | train/epoch_303/ex eed edd
2141 | train/epoch_303/ex j i
2142 | train/epoch_303/ex ddd ddd
2143 | train/epoch_303/ex ba ba
2144 | train/epoch_303/ex jjjja cjjjj
2145 | train/epoch_303{1.27s}
2146 | train/epoch_304/loss 5.7080
2147 | train/epoch_304/ex bbb bbb
2148 | train/epoch_304/ex e e
2149 | train/epoch_304/ex faaf chhf
2150 | train/epoch_304/ex eeeeee eeeeee
2151 | train/epoch_304/ex gd ge
2152 | train/epoch_304{1.30s}
2153 | train/epoch_305/loss 5.5396
2154 | train/epoch_305/ex jjjjjj jjjjjj
2155 | train/epoch_305/ex jjjj jjjj
2156 | train/epoch_305/ex bbbbbbb bbbbbbb
2157 | train/epoch_305/ex j g
2158 | train/epoch_305/ex eec ecc
2159 | train/epoch_305{1.31s}
2160 | train/epoch_306/loss 5.3308
2161 | train/epoch_306/ex jjjee jjeee
2162 | train/epoch_306/ex jjc jjc
2163 | train/epoch_306/ex a j
2164 | train/epoch_306/ex gab gbg
2165 | train/epoch_306/ex i g
2166 | train/epoch_306{1.27s}
2167 | train/epoch_307/loss 5.3554
2168 | train/epoch_307/ex b c
2169 | train/epoch_307/ex aaai iibb
2170 | train/epoch_307/ex iii iii
2171 | train/epoch_307/ex ffffff ffffff
2172 | train/epoch_307/ex aaaaaaa aaaaaaa
2173 | train/epoch_307{1.23s}
2174 | train/epoch_308/loss 5.0846
2175 | train/epoch_308/ex dcddc ccdcd
2176 | train/epoch_308/ex iii iii
2177 | train/epoch_308/ex he ah
2178 | train/epoch_308/ex ggjg jccj
2179 | train/epoch_308/ex aaee aaae
2180 | train/epoch_308{1.24s}
2181 | train/epoch_309/loss 5.5337
2182 | train/epoch_309/ex ffh ffh
2183 | train/epoch_309/ex bjbj jbjb
2184 | train/epoch_309/ex ed ef
2185 | train/epoch_309/ex hhjh hjhh
2186 | train/epoch_309/ex i f
2187 | train/epoch_309{1.28s}
2188 | train/epoch_310/loss 5.5638
2189 | train/epoch_310/ex f g
2190 | train/epoch_310/ex cgc jcg
2191 | train/epoch_310/ex gggggg gggggg
2192 | train/epoch_310/ex bd if
2193 | train/epoch_310/ex dddd dddd
2194 | train/epoch_310{1.32s}
2195 | train/epoch_311/loss 5.2004
2196 | train/epoch_311/ex ijijij ijajaj
2197 | train/epoch_311/ex cc cc
2198 | train/epoch_311/ex e d
2199 | train/epoch_311/ex hhhh hhhc
2200 | train/epoch_311/ex iia aai
2201 | train/epoch_311{1.27s}
2202 | train/epoch_312/loss 4.8153
2203 | train/epoch_312/ex fffffff fffffff
2204 | train/epoch_312/ex iifc icff
2205 | train/epoch_312/ex d a
2206 | train/epoch_312/ex eh he
2207 | train/epoch_312/ex ghhhhhh ggghhgh
2208 | train/epoch_312{1.29s}
2209 | train/epoch_313/loss 4.8723
2210 | train/epoch_313/ex eee eee
2211 | train/epoch_313/ex aaaa gaaa
2212 | train/epoch_313/ex bbdbbd dddbdb
2213 | train/epoch_313/ex e h
2214 | train/epoch_313/ex cecce eccie
2215 | train/epoch_313{1.27s}
2216 | train/epoch_314/loss 5.5505
2217 | train/epoch_314/ex cccjj ccccj
2218 | train/epoch_314/ex jdjjjdjdj jajbbdadd
2219 | train/epoch_314/ex ffj ffj
2220 | train/epoch_314/ex b j
2221 | train/epoch_314/ex aab jaa
2222 | train/epoch_314{1.29s}
2223 | train/epoch_315/loss 5.3223
2224 | train/epoch_315/ex jjjjj djjjj
2225 | train/epoch_315/ex ggggggi gggeggg
2226 | train/epoch_315/ex fffff fffff
2227 | train/epoch_315/ex i a
2228 | train/epoch_315/ex eef bee
2229 | train/epoch_315{1.25s}
2230 | train/epoch_316/loss 5.2569
2231 | train/epoch_316/ex gegge dgddg
2232 | train/epoch_316/ex ffffff ffffff
2233 | train/epoch_316/ex bhbhb bhaba
2234 | train/epoch_316/ex ffffffff ffffffff
2235 | train/epoch_316/ex ah hg
2236 | train/epoch_316{1.25s}
2237 | train/epoch_317/loss 5.5604
2238 | train/epoch_317/ex ffeffffffe aefefeeeee
2239 | train/epoch_317/ex ah ch
2240 | train/epoch_317/ex eeeee eeeee
2241 | train/epoch_317/ex ff ff
2242 | train/epoch_317/ex jjjjjjj jjjjjjj
2243 | train/epoch_317{1.29s}
2244 | train/epoch_318/loss 5.1217
2245 | train/epoch_318/ex e b
2246 | train/epoch_318/ex hch hfh
2247 | train/epoch_318/ex hhhhd ghhhh
2248 | train/epoch_318/ex id di
2249 | train/epoch_318/ex iiiiiig giiiiii
2250 | train/epoch_318{1.29s}
2251 | train/epoch_319/loss 5.1010
2252 | train/epoch_319/ex i j
2253 | train/epoch_319/ex eeg cee
2254 | train/epoch_319/ex hhh hhh
2255 | train/epoch_319/ex eeeeeeee eeeeeeee
2256 | train/epoch_319/ex aja ajh
2257 | train/epoch_319{1.27s}
2258 | train/epoch_320/loss 5.6982
2259 | train/epoch_320/ex gg gg
2260 | train/epoch_320/ex hhhhh hhhhh
2261 | train/epoch_320/ex eeiii eeeii
2262 | train/epoch_320/ex b i
2263 | train/epoch_320/ex eeej deee
2264 | train/epoch_320{1.25s}
2265 | train/epoch_321/loss 5.3738
2266 | train/epoch_321/ex eeeeee eeeeee
2267 | train/epoch_321/ex jjjj jjje
2268 | train/epoch_321/ex fffj jfff
2269 | train/epoch_321/ex ee cc
2270 | train/epoch_321/ex jjji jiii
2271 | train/epoch_321{1.29s}
2272 | train/epoch_322/loss 5.6449
2273 | train/epoch_322/ex bbc jbb
2274 | train/epoch_322/ex bibi adbi
2275 | train/epoch_322/ex aaa aaa
2276 | train/epoch_322/ex gggggg gggggg
2277 | train/epoch_322/ex iiiii iiiii
2278 | train/epoch_322{1.30s}
2279 | train/epoch_323/loss 5.3113
2280 | train/epoch_323/ex h i
2281 | train/epoch_323/ex d a
2282 | train/epoch_323/ex jjj jjj
2283 | train/epoch_323/ex eeaeeeea eeaeaaee
2284 | train/epoch_323/ex ffb bff
2285 | train/epoch_323{1.28s}
2286 | train/epoch_324/loss 4.9354
2287 | train/epoch_324/ex fff fff
2288 | train/epoch_324/ex c b
2289 | train/epoch_324/ex dde gdd
2290 | train/epoch_324/ex ifi ifh
2291 | train/epoch_324/ex iiiiii iiiiii
2292 | train/epoch_324{1.25s}
2293 | train/epoch_325/loss 5.6181
2294 | train/epoch_325/ex ii ii
2295 | train/epoch_325/ex iic cii
2296 | train/epoch_325/ex bibbibi biiibib
2297 | train/epoch_325/ex bbe cbb
2298 | train/epoch_325/ex dddd dddd
2299 | train/epoch_325{1.29s}
2300 | train/epoch_326/loss 5.5414
2301 | train/epoch_326/ex eeei eeef
2302 | train/epoch_326/ex e g
2303 | train/epoch_326/ex e j
2304 | train/epoch_326/ex hhh hhh
2305 | train/epoch_326/ex e i
2306 | train/epoch_326{1.28s}
2307 | train/epoch_327/loss 5.1233
2308 | train/epoch_327/ex d h
2309 | train/epoch_327/ex ie bi
2310 | train/epoch_327/ex ca ca
2311 | train/epoch_327/ex ddddj dddda
2312 | train/epoch_327/ex jjjeee jejjjj
2313 | train/epoch_327{1.27s}
2314 | train/epoch_328/loss 5.4084
2315 | train/epoch_328/ex fff fff
2316 | train/epoch_328/ex ggggg ggggg
2317 | train/epoch_328/ex b j
2318 | train/epoch_328/ex hhhh hhhh
2319 | train/epoch_328/ex i i
2320 | train/epoch_328{1.30s}
2321 | train/epoch_329/loss 5.1402
2322 | train/epoch_329/ex jjjcj jjfjj
2323 | train/epoch_329/ex dd dd
2324 | train/epoch_329/ex eeg iee
2325 | train/epoch_329/ex i f
2326 | train/epoch_329/ex gdg gdb
2327 | train/epoch_329{1.27s}
2328 | train/epoch_330/loss 4.9824
2329 | train/epoch_330/ex cec cei
2330 | train/epoch_330/ex iie aii
2331 | train/epoch_330/ex bbh hhb
2332 | train/epoch_330/ex fifi ifif
2333 | train/epoch_330/ex gdggd cdgdd
2334 | train/epoch_330{1.29s}
2335 | train/epoch_331/loss 4.8431
2336 | train/epoch_331/ex dd dd
2337 | train/epoch_331/ex j j
2338 | train/epoch_331/ex gbg gbg
2339 | train/epoch_331/ex ddddd ddddd
2340 | train/epoch_331/ex ddddddd ddddddd
2341 | train/epoch_331{1.28s}
2342 | train/epoch_332/loss 5.2783
2343 | train/epoch_332/ex jjj jjj
2344 | train/epoch_332/ex iiiiii iiiiii
2345 | train/epoch_332/ex ggc igg
2346 | train/epoch_332/ex ghggh hgghb
2347 | train/epoch_332/ex d d
2348 | train/epoch_332{1.27s}
2349 | train/epoch_333/loss 4.8253
2350 | train/epoch_333/ex cccc cccc
2351 | train/epoch_333/ex fff ddd
2352 | train/epoch_333/ex efefef idfidd
2353 | train/epoch_333/ex c b
2354 | train/epoch_333/ex ddj dda
2355 | train/epoch_333{1.26s}
2356 | train/epoch_334/loss 5.4519
2357 | train/epoch_334/ex jh je
2358 | train/epoch_334/ex e h
2359 | train/epoch_334/ex jjjjjj jjjjjj
2360 | train/epoch_334/ex ddddddd ddddddd
2361 | train/epoch_334/ex g b
2362 | train/epoch_334{1.28s}
2363 | train/epoch_335/loss 4.9193
2364 | train/epoch_335/ex j f
2365 | train/epoch_335/ex ccf fcc
2366 | train/epoch_335/ex ffe eff
2367 | train/epoch_335/ex ddddd ddddd
2368 | train/epoch_335/ex iii iii
2369 | train/epoch_335{1.28s}
2370 | train/epoch_336/loss 5.3302
2371 | train/epoch_336/ex jjjjjjj jjjjjjj
2372 | train/epoch_336/ex ccjc cjcc
2373 | train/epoch_336/ex dddddd dddddd
2374 | train/epoch_336/ex bbbi bbbi
2375 | train/epoch_336/ex iijii jjijj
2376 | train/epoch_336{1.27s}
2377 | train/epoch_337/loss 4.9250
2378 | train/epoch_337/ex gggggg gggggg
2379 | train/epoch_337/ex eebeeeeb eeceeeeb
2380 | train/epoch_337/ex ddddddd ddddddd
2381 | train/epoch_337/ex fhfhfhf fjhhjhj
2382 | train/epoch_337/ex b a
2383 | train/epoch_337{1.25s}
2384 | 


--------------------------------------------------------------------------------
/exp/test/run.out:
--------------------------------------------------------------------------------
   1 | train/epoch_000/loss 22.8362
   2 | train/epoch_000/ex c jjjjjjjj
   3 | train/epoch_000/ex c h
   4 | train/epoch_000/ex hhhhhh hh
   5 | train/epoch_000/ex c be
   6 | train/epoch_000/ex c g
   7 | train/epoch_000{1.67s}
   8 | train/epoch_001/loss 17.8316
   9 | train/epoch_001/ex hhhhhhhhhhhhhh hghhh
  10 | train/epoch_001/ex eeeeee cccgc
  11 | train/epoch_001/ex dd dgg
  12 | train/epoch_001/ex jjj bba
  13 | train/epoch_001/ex dddddddd bbbbb
  14 | train/epoch_001{1.66s}
  15 | train/epoch_002/loss 15.7034
  16 | train/epoch_002/ex hhhhhhhh ccccccc
  17 | train/epoch_002/ex ee de
  18 | train/epoch_002/ex ee hj
  19 | train/epoch_002/ex aaaaaaa jhhhjh
  20 | train/epoch_002/ex ee ee
  21 | train/epoch_002{1.68s}
  22 | train/epoch_003/loss 15.4253
  23 | train/epoch_003/ex hhhhh gjjj
  24 | train/epoch_003/ex cccc fff
  25 | train/epoch_003/ex cccc ddd
  26 | train/epoch_003/ex ddd jj
  27 | train/epoch_003/ex hhhhh iiii
  28 | train/epoch_003{1.64s}
  29 | train/epoch_004/loss 14.3880
  30 | train/epoch_004/ex ddd eei
  31 | train/epoch_004/ex jjj bbb
  32 | train/epoch_004/ex dd jj
  33 | train/epoch_004/ex dd hh
  34 | train/epoch_004/ex hhhhhh hhhhhhh
  35 | train/epoch_004{1.66s}
  36 | train/epoch_005/loss 13.5733
  37 | train/epoch_005/ex d j
  38 | train/epoch_005/ex ddddddddd fffffffff
  39 | train/epoch_005/ex jjjjjj jjjjjj
  40 | train/epoch_005/ex j d
  41 | train/epoch_005/ex ccccc hhchc
  42 | train/epoch_005{1.66s}
  43 | train/epoch_006/loss 13.6279
  44 | train/epoch_006/ex i f
  45 | train/epoch_006/ex jjjjj fffff
  46 | train/epoch_006/ex i c
  47 | train/epoch_006/ex ii dg
  48 | train/epoch_006/ex i d
  49 | train/epoch_006{1.66s}
  50 | train/epoch_007/loss 12.9868
  51 | train/epoch_007/ex d e
  52 | train/epoch_007/ex d jj
  53 | train/epoch_007/ex ggg jjjj
  54 | train/epoch_007/ex ccc ddee
  55 | train/epoch_007/ex ggg eeb
  56 | train/epoch_007{1.65s}
  57 | train/epoch_008/loss 13.9978
  58 | train/epoch_008/ex jjj iii
  59 | train/epoch_008/ex jjjj ddda
  60 | train/epoch_008/ex jjj ccj
  61 | train/epoch_008/ex jjj jjf
  62 | train/epoch_008/ex jjjj eeeee
  63 | train/epoch_008{1.64s}
  64 | train/epoch_009/loss 12.8823
  65 | train/epoch_009/ex ddd gee
  66 | train/epoch_009/ex ddd ggg
  67 | train/epoch_009/ex gggg gece
  68 | train/epoch_009/ex ggggggggg gffififi
  69 | train/epoch_009/ex ggggg fffff
  70 | train/epoch_009{1.62s}
  71 | train/epoch_010/loss 12.7981
  72 | train/epoch_010/ex iii ddd
  73 | train/epoch_010/ex a a
  74 | train/epoch_010/ex ggg hhi
  75 | train/epoch_010/ex ggggg bcccb
  76 | train/epoch_010/ex ggg iii
  77 | train/epoch_010{1.71s}
  78 | train/epoch_011/loss 13.0906
  79 | train/epoch_011/ex ffff aaab
  80 | train/epoch_011/ex fff fff
  81 | train/epoch_011/ex jj bd
  82 | train/epoch_011/ex jj fd
  83 | train/epoch_011/ex ggg hgg
  84 | train/epoch_011{1.75s}
  85 | train/epoch_012/loss 13.2870
  86 | train/epoch_012/ex ccccc hhhhh
  87 | train/epoch_012/ex ff jj
  88 | train/epoch_012/ex fff efg
  89 | train/epoch_012/ex ff fg
  90 | train/epoch_012/ex eee daa
  91 | train/epoch_012{1.73s}
  92 | train/epoch_013/loss 12.4678
  93 | train/epoch_013/ex jjjj aaaa
  94 | train/epoch_013/ex jj gg
  95 | train/epoch_013/ex jjjj dddd
  96 | train/epoch_013/ex d d
  97 | train/epoch_013/ex jjjjj gggga
  98 | train/epoch_013{1.68s}
  99 | train/epoch_014/loss 12.5800
 100 | train/epoch_014/ex ee ij
 101 | train/epoch_014/ex h a
 102 | train/epoch_014/ex cc dc
 103 | train/epoch_014/ex jjjjj eaaaa
 104 | train/epoch_014/ex c h
 105 | train/epoch_014{1.70s}
 106 | train/epoch_015/loss 13.1313
 107 | train/epoch_015/ex jj jg
 108 | train/epoch_015/ex ggggg iiiii
 109 | train/epoch_015/ex jj dd
 110 | train/epoch_015/ex jj dd
 111 | train/epoch_015/ex bbbbb gggge
 112 | train/epoch_015{1.66s}
 113 | train/epoch_016/loss 12.1703
 114 | train/epoch_016/ex fff aah
 115 | train/epoch_016/ex c j
 116 | train/epoch_016/ex fff igg
 117 | train/epoch_016/ex cccccccc ddddddd
 118 | train/epoch_016/ex ffff hhhh
 119 | train/epoch_016{1.77s}
 120 | train/epoch_017/loss 12.0576
 121 | train/epoch_017/ex ccccccc afaaafa
 122 | train/epoch_017/ex g i
 123 | train/epoch_017/ex cccccc ccccce
 124 | train/epoch_017/ex d i
 125 | train/epoch_017/ex ggggg hbhhb
 126 | train/epoch_017{1.72s}
 127 | train/epoch_018/loss 12.5933
 128 | train/epoch_018/ex iiii ffff
 129 | train/epoch_018/ex bbbbbb eggggg
 130 | train/epoch_018/ex aaa fhf
 131 | train/epoch_018/ex ii fh
 132 | train/epoch_018/ex bbbbb iiiii
 133 | train/epoch_018{1.68s}
 134 | train/epoch_019/loss 12.2876
 135 | train/epoch_019/ex hhhh hjbb
 136 | train/epoch_019/ex iii ffe
 137 | train/epoch_019/ex b d
 138 | train/epoch_019/ex c d
 139 | train/epoch_019/ex ccccc fhjfh
 140 | train/epoch_019{1.68s}
 141 | train/epoch_020/loss 12.1402
 142 | train/epoch_020/ex f c
 143 | train/epoch_020/ex hhh ddd
 144 | train/epoch_020/ex hhhh gggg
 145 | train/epoch_020/ex fff iff
 146 | train/epoch_020/ex hhh ddd
 147 | train/epoch_020{1.70s}
 148 | train/epoch_021/loss 12.5671
 149 | train/epoch_021/ex eee bbb
 150 | train/epoch_021/ex ii bb
 151 | train/epoch_021/ex i a
 152 | train/epoch_021/ex ggg jjj
 153 | train/epoch_021/ex ggg fbb
 154 | train/epoch_021{1.73s}
 155 | train/epoch_022/loss 12.4098
 156 | train/epoch_022/ex hhhh didd
 157 | train/epoch_022/ex ddd dci
 158 | train/epoch_022/ex ggg bee
 159 | train/epoch_022/ex hh cj
 160 | train/epoch_022/ex d a
 161 | train/epoch_022{1.78s}
 162 | train/epoch_023/loss 11.6609
 163 | train/epoch_023/ex hhhhhh jhjhhh
 164 | train/epoch_023/ex ccc adi
 165 | train/epoch_023/ex h f
 166 | train/epoch_023/ex ccc iii
 167 | train/epoch_023/ex a d
 168 | train/epoch_023{1.67s}
 169 | train/epoch_024/loss 12.1278
 170 | train/epoch_024/ex gggg iiii
 171 | train/epoch_024/ex h e
 172 | train/epoch_024/ex jjjj aaaa
 173 | train/epoch_024/ex gg fg
 174 | train/epoch_024/ex jjjj jjjb
 175 | train/epoch_024{1.73s}
 176 | train/epoch_025/loss 11.1727
 177 | train/epoch_025/ex d g
 178 | train/epoch_025/ex ee ce
 179 | train/epoch_025/ex fff ffd
 180 | train/epoch_025/ex hhhhh hhhhh
 181 | train/epoch_025/ex ee he
 182 | train/epoch_025{1.72s}
 183 | train/epoch_026/loss 11.3304
 184 | train/epoch_026/ex fff eai
 185 | train/epoch_026/ex ccccccc ccjcccc
 186 | train/epoch_026/ex aaaaa aaaai
 187 | train/epoch_026/ex jj ja
 188 | train/epoch_026/ex aaaa jjjf
 189 | train/epoch_026{1.64s}
 190 | train/epoch_027/loss 11.3086
 191 | train/epoch_027/ex ii bj
 192 | train/epoch_027/ex i f
 193 | train/epoch_027/ex c c
 194 | train/epoch_027/ex ccc dcd
 195 | train/epoch_027/ex iiii giig
 196 | train/epoch_027{1.68s}
 197 | train/epoch_028/loss 11.5476
 198 | train/epoch_028/ex eee bjj
 199 | train/epoch_028/ex iiii jddd
 200 | train/epoch_028/ex hhhh hhhh
 201 | train/epoch_028/ex c g
 202 | train/epoch_028/ex aa gd
 203 | train/epoch_028{1.73s}
 204 | train/epoch_029/loss 11.0319
 205 | train/epoch_029/ex ddd ddj
 206 | train/epoch_029/ex i e
 207 | train/epoch_029/ex ee hh
 208 | train/epoch_029/ex b c
 209 | train/epoch_029/ex dddd cddi
 210 | train/epoch_029{1.67s}
 211 | train/epoch_030/loss 10.6165
 212 | train/epoch_030/ex ggg ggg
 213 | train/epoch_030/ex bb bb
 214 | train/epoch_030/ex dddddd ddddhd
 215 | train/epoch_030/ex jj jj
 216 | train/epoch_030/ex iiii ibbb
 217 | train/epoch_030{1.78s}
 218 | train/epoch_031/loss 10.4115
 219 | train/epoch_031/ex aaaaaa aagaaa
 220 | train/epoch_031/ex gg dg
 221 | train/epoch_031/ex bbbb bbgb
 222 | train/epoch_031/ex gggg aagg
 223 | train/epoch_031/ex eeee eeea
 224 | train/epoch_031{1.69s}
 225 | train/epoch_032/loss 9.9072
 226 | train/epoch_032/ex dddd dddd
 227 | train/epoch_032/ex ggg ggh
 228 | train/epoch_032/ex iiiii iiiii
 229 | train/epoch_032/ex cccc cccg
 230 | train/epoch_032/ex bbbbbb gggdgg
 231 | train/epoch_032{1.81s}
 232 | train/epoch_033/loss 10.3149
 233 | train/epoch_033/ex d d
 234 | train/epoch_033/ex ii gb
 235 | train/epoch_033/ex dd de
 236 | train/epoch_033/ex iii iii
 237 | train/epoch_033/ex gggg gbbe
 238 | train/epoch_033{1.69s}
 239 | train/epoch_034/loss 9.4857
 240 | train/epoch_034/ex d i
 241 | train/epoch_034/ex ccccc chcch
 242 | train/epoch_034/ex ggggg ggggg
 243 | train/epoch_034/ex bbb ddi
 244 | train/epoch_034/ex d c
 245 | train/epoch_034{1.68s}
 246 | train/epoch_035/loss 9.1306
 247 | train/epoch_035/ex i e
 248 | train/epoch_035/ex eee deb
 249 | train/epoch_035/ex ccc aca
 250 | train/epoch_035/ex aaa haa
 251 | train/epoch_035/ex d d
 252 | train/epoch_035{1.63s}
 253 | train/epoch_036/loss 9.2752
 254 | train/epoch_036/ex bbb iii
 255 | train/epoch_036/ex jjjjjj fjjjff
 256 | train/epoch_036/ex ccc fcf
 257 | train/epoch_036/ex ggg ggg
 258 | train/epoch_036/ex bb bb
 259 | train/epoch_036{1.65s}
 260 | train/epoch_037/loss 9.0192
 261 | train/epoch_037/ex bbb bbb
 262 | train/epoch_037/ex eee hee
 263 | train/epoch_037/ex hh fh
 264 | train/epoch_037/ex ccc cbi
 265 | train/epoch_037/ex e h
 266 | train/epoch_037{1.63s}
 267 | train/epoch_038/loss 8.5020
 268 | train/epoch_038/ex ggg ggg
 269 | train/epoch_038/ex aa ai
 270 | train/epoch_038/ex d f
 271 | train/epoch_038/ex jjj ahh
 272 | train/epoch_038/ex jjjjjjjj jjjjjjj
 273 | train/epoch_038{1.68s}
 274 | train/epoch_039/loss 8.8784
 275 | train/epoch_039/ex hhhh hhhh
 276 | train/epoch_039/ex i i
 277 | train/epoch_039/ex ddddd ddddd
 278 | train/epoch_039/ex aaaa aaaa
 279 | train/epoch_039/ex hhh ccc
 280 | train/epoch_039{1.69s}
 281 | train/epoch_040/loss 8.5456
 282 | train/epoch_040/ex eee iff
 283 | train/epoch_040/ex jjj jjj
 284 | train/epoch_040/ex d e
 285 | train/epoch_040/ex fffff ffffa
 286 | train/epoch_040/ex ccc ccc
 287 | train/epoch_040{1.68s}
 288 | train/epoch_041/loss 7.9460
 289 | train/epoch_041/ex a d
 290 | train/epoch_041/ex bb ji
 291 | train/epoch_041/ex f j
 292 | train/epoch_041/ex d h
 293 | train/epoch_041/ex gggggg gggggg
 294 | train/epoch_041{1.75s}
 295 | train/epoch_042/loss 8.4096
 296 | train/epoch_042/ex jjjjj jjbbj
 297 | train/epoch_042/ex bbbbb bbbib
 298 | train/epoch_042/ex ee be
 299 | train/epoch_042/ex hh be
 300 | train/epoch_042/ex iiiiiii iiiigii
 301 | train/epoch_042{1.70s}
 302 | train/epoch_043/loss 8.3319
 303 | train/epoch_043/ex hhhhhhh cccehhe
 304 | train/epoch_043/ex aaaaaaa aabaaaa
 305 | train/epoch_043/ex jjjj igjj
 306 | train/epoch_043/ex bbb bbb
 307 | train/epoch_043/ex eee iee
 308 | train/epoch_043{1.61s}
 309 | train/epoch_044/loss 8.2171
 310 | train/epoch_044/ex bbb ajc
 311 | train/epoch_044/ex jjjj jjjj
 312 | train/epoch_044/ex iiii ciii
 313 | train/epoch_044/ex dddd dddd
 314 | train/epoch_044/ex dd dg
 315 | train/epoch_044{1.70s}
 316 | train/epoch_045/loss 8.4160
 317 | train/epoch_045/ex ee fb
 318 | train/epoch_045/ex d d
 319 | train/epoch_045/ex fff fff
 320 | train/epoch_045/ex jj de
 321 | train/epoch_045/ex d d
 322 | train/epoch_045{1.74s}
 323 | train/epoch_046/loss 7.9525
 324 | train/epoch_046/ex b a
 325 | train/epoch_046/ex j j
 326 | train/epoch_046/ex b c
 327 | train/epoch_046/ex b d
 328 | train/epoch_046/ex ggg gga
 329 | train/epoch_046{1.65s}
 330 | train/epoch_047/loss 8.0812
 331 | train/epoch_047/ex ccc cee
 332 | train/epoch_047/ex eeeee eeeee
 333 | train/epoch_047/ex e e
 334 | train/epoch_047/ex bbbbb abaaa
 335 | train/epoch_047/ex hhhhh hfhhh
 336 | train/epoch_047{1.64s}
 337 | train/epoch_048/loss 7.9757
 338 | train/epoch_048/ex eee eee
 339 | train/epoch_048/ex jjjj jjjj
 340 | train/epoch_048/ex hh hh
 341 | train/epoch_048/ex fff ddd
 342 | train/epoch_048/ex aaaaaaaa babababa
 343 | train/epoch_048{1.63s}
 344 | train/epoch_049/loss 8.2288
 345 | train/epoch_049/ex aaa haa
 346 | train/epoch_049/ex d g
 347 | train/epoch_049/ex bb gh
 348 | train/epoch_049/ex ccc ccc
 349 | train/epoch_049/ex jjjj jddj
 350 | train/epoch_049{1.67s}
 351 | train/epoch_050/loss 7.7076
 352 | train/epoch_050/ex bbbbbbb bbbbbbb
 353 | train/epoch_050/ex jjjj jjjj
 354 | train/epoch_050/ex aaaaaaaaaa aaaaaaaaae
 355 | train/epoch_050/ex ddddddd cccdccd
 356 | train/epoch_050/ex gggggg gjjggj
 357 | train/epoch_050{1.67s}
 358 | train/epoch_051/loss 7.5583
 359 | train/epoch_051/ex gggg gcgg
 360 | train/epoch_051/ex ffff fffj
 361 | train/epoch_051/ex iiiiiii gifffff
 362 | train/epoch_051/ex ii bb
 363 | train/epoch_051/ex iiiiii igggig
 364 | train/epoch_051{1.72s}
 365 | train/epoch_052/loss 8.0744
 366 | train/epoch_052/ex fffffff fefffff
 367 | train/epoch_052/ex hhhhh hhihh
 368 | train/epoch_052/ex jj ae
 369 | train/epoch_052/ex bbbb bccc
 370 | train/epoch_052/ex iiiih iccci
 371 | train/epoch_052{1.66s}
 372 | train/epoch_053/loss 7.7585
 373 | train/epoch_053/ex dddd aadd
 374 | train/epoch_053/ex eeeeg ggeee
 375 | train/epoch_053/ex ggg gcb
 376 | train/epoch_053/ex iiiii iiiii
 377 | train/epoch_053/ex j f
 378 | train/epoch_053{1.63s}
 379 | train/epoch_054/loss 7.6292
 380 | train/epoch_054/ex g b
 381 | train/epoch_054/ex jjjj jjjj
 382 | train/epoch_054/ex ddd ddd
 383 | train/epoch_054/ex fffff aafac
 384 | train/epoch_054/ex fff efc
 385 | train/epoch_054{1.70s}
 386 | train/epoch_055/loss 7.4907
 387 | train/epoch_055/ex cccc aaaa
 388 | train/epoch_055/ex b e
 389 | train/epoch_055/ex bbbbb babja
 390 | train/epoch_055/ex bb ib
 391 | train/epoch_055/ex bbbbb bbbbf
 392 | train/epoch_055{1.70s}
 393 | train/epoch_056/loss 7.4383
 394 | train/epoch_056/ex aaaaaaaaa aiaaiiiaa
 395 | train/epoch_056/ex i a
 396 | train/epoch_056/ex i i
 397 | train/epoch_056/ex dd fe
 398 | train/epoch_056/ex iiii iiii
 399 | train/epoch_056{1.70s}
 400 | train/epoch_057/loss 6.6370
 401 | train/epoch_057/ex hh hh
 402 | train/epoch_057/ex jjjjj jjjjj
 403 | train/epoch_057/ex ff fb
 404 | train/epoch_057/ex hhh hhg
 405 | train/epoch_057/ex hd ih
 406 | train/epoch_057{1.73s}
 407 | train/epoch_058/loss 7.4613
 408 | train/epoch_058/ex iiiii iaiii
 409 | train/epoch_058/ex eeee fbbf
 410 | train/epoch_058/ex i b
 411 | train/epoch_058/ex ddd ddd
 412 | train/epoch_058/ex ggggg gbggb
 413 | train/epoch_058{1.63s}
 414 | train/epoch_059/loss 7.8029
 415 | train/epoch_059/ex ggg iee
 416 | train/epoch_059/ex eeeee eeeee
 417 | train/epoch_059/ex j h
 418 | train/epoch_059/ex bbbb bbbc
 419 | train/epoch_059/ex d a
 420 | train/epoch_059{1.68s}
 421 | train/epoch_060/loss 7.4298
 422 | train/epoch_060/ex ddd ddd
 423 | train/epoch_060/ex b b
 424 | train/epoch_060/ex b d
 425 | train/epoch_060/ex ffffff eeffee
 426 | train/epoch_060/ex iiiiiii iiiiiii
 427 | train/epoch_060{1.63s}
 428 | train/epoch_061/loss 7.6609
 429 | train/epoch_061/ex iiiiii iiigii
 430 | train/epoch_061/ex fffif fafff
 431 | train/epoch_061/ex bbb fdb
 432 | train/epoch_061/ex bbbb baaa
 433 | train/epoch_061/ex i i
 434 | train/epoch_061{1.66s}
 435 | train/epoch_062/loss 7.3057
 436 | train/epoch_062/ex aaaaaaa aaaaaaa
 437 | train/epoch_062/ex aaaaaaaaa aaaaaaaaa
 438 | train/epoch_062/ex ai ai
 439 | train/epoch_062/ex iiiii ibiii
 440 | train/epoch_062/ex hh eh
 441 | train/epoch_062{1.69s}
 442 | train/epoch_063/loss 7.3409
 443 | train/epoch_063/ex g e
 444 | train/epoch_063/ex eeeei idide
 445 | train/epoch_063/ex d a
 446 | train/epoch_063/ex i i
 447 | train/epoch_063/ex g g
 448 | train/epoch_063{1.71s}
 449 | train/epoch_064/loss 6.9645
 450 | train/epoch_064/ex i h
 451 | train/epoch_064/ex ee hh
 452 | train/epoch_064/ex aaa aaa
 453 | train/epoch_064/ex ccc ccc
 454 | train/epoch_064/ex ii fi
 455 | train/epoch_064{1.65s}
 456 | train/epoch_065/loss 7.2653
 457 | train/epoch_065/ex dd db
 458 | train/epoch_065/ex fe de
 459 | train/epoch_065/ex bfb fef
 460 | train/epoch_065/ex eee bbb
 461 | train/epoch_065/ex eee eej
 462 | train/epoch_065{1.66s}
 463 | train/epoch_066/loss 7.0616
 464 | train/epoch_066/ex iiii iiii
 465 | train/epoch_066/ex i j
 466 | train/epoch_066/ex j i
 467 | train/epoch_066/ex aaaa aaad
 468 | train/epoch_066/ex ggggg ggggg
 469 | train/epoch_066{1.67s}
 470 | train/epoch_067/loss 7.0897
 471 | train/epoch_067/ex j i
 472 | train/epoch_067/ex b d
 473 | train/epoch_067/ex ccccc ccccd
 474 | train/epoch_067/ex jjjj jjjj
 475 | train/epoch_067/ex dd bb
 476 | train/epoch_067{1.68s}
 477 | train/epoch_068/loss 7.2424
 478 | Epoch    68: reducing learning rate of group 0 to 1.0000e-03.
 479 | train/epoch_068/ex b b
 480 | train/epoch_068/ex hhhe eeeg
 481 | train/epoch_068/ex ggggg ggggg
 482 | train/epoch_068/ex bbbbbbbb bggggggg
 483 | train/epoch_068/ex d b
 484 | train/epoch_068{1.78s}
 485 | train/epoch_069/loss 6.6082
 486 | train/epoch_069/ex iiiii iiiii
 487 | train/epoch_069/ex bbiiii ibbbbb
 488 | train/epoch_069/ex jjjj jjjj
 489 | train/epoch_069/ex ggee egge
 490 | train/epoch_069/ex bbbb bbbi
 491 | train/epoch_069{1.68s}
 492 | train/epoch_070/loss 6.7222
 493 | train/epoch_070/ex hhhh bgbb
 494 | train/epoch_070/ex dddd dddd
 495 | train/epoch_070/ex aaj ajj
 496 | train/epoch_070/ex cccc eeee
 497 | train/epoch_070/ex j j
 498 | train/epoch_070{1.61s}
 499 | train/epoch_071/loss 7.0077
 500 | train/epoch_071/ex bc cb
 501 | train/epoch_071/ex ggg gga
 502 | train/epoch_071/ex fgf fgf
 503 | train/epoch_071/ex e i
 504 | train/epoch_071/ex bbbb bebb
 505 | train/epoch_071{1.60s}
 506 | train/epoch_072/loss 6.9859
 507 | train/epoch_072/ex cacc acca
 508 | train/epoch_072/ex ffff ffff
 509 | train/epoch_072/ex ddddddd ddddddd
 510 | train/epoch_072/ex ddd ddd
 511 | train/epoch_072/ex gggg gggg
 512 | train/epoch_072{1.64s}
 513 | train/epoch_073/loss 6.4847
 514 | train/epoch_073/ex d f
 515 | train/epoch_073/ex dd df
 516 | train/epoch_073/ex cccccb ebcbbc
 517 | train/epoch_073/ex jccc ccjc
 518 | train/epoch_073/ex jjj aaa
 519 | train/epoch_073{1.62s}
 520 | train/epoch_074/loss 6.6003
 521 | train/epoch_074/ex eeec cece
 522 | train/epoch_074/ex jjjj cjjj
 523 | train/epoch_074/ex jjjj jjjj
 524 | train/epoch_074/ex abba abba
 525 | train/epoch_074/ex hb gj
 526 | train/epoch_074{1.77s}
 527 | train/epoch_075/loss 6.7520
 528 | train/epoch_075/ex dd he
 529 | train/epoch_075/ex hhhh hfhh
 530 | train/epoch_075/ex h h
 531 | train/epoch_075/ex ggggggg ggggggg
 532 | train/epoch_075/ex aaaaaj jajjja
 533 | train/epoch_075{1.66s}
 534 | train/epoch_076/loss 6.6033
 535 | train/epoch_076/ex hhhhh haahh
 536 | train/epoch_076/ex iii iii
 537 | train/epoch_076/ex aac aca
 538 | train/epoch_076/ex ff ff
 539 | train/epoch_076/ex bbbbbbb bbbbbbb
 540 | train/epoch_076{1.66s}
 541 | train/epoch_077/loss 6.5350
 542 | train/epoch_077/ex c e
 543 | train/epoch_077/ex dg dg
 544 | train/epoch_077/ex gggggg gggggf
 545 | train/epoch_077/ex ccgggg gccgcc
 546 | train/epoch_077/ex ffffff ffffff
 547 | train/epoch_077{1.72s}
 548 | train/epoch_078/loss 6.7589
 549 | train/epoch_078/ex eefe fefe
 550 | train/epoch_078/ex ddddd ddddd
 551 | train/epoch_078/ex cc aa
 552 | train/epoch_078/ex ddd ddd
 553 | train/epoch_078/ex cc fc
 554 | train/epoch_078{1.64s}
 555 | train/epoch_079/loss 6.8897
 556 | train/epoch_079/ex aaaaa aaaah
 557 | train/epoch_079/ex eeee eeee
 558 | train/epoch_079/ex jddbj jbbbb
 559 | train/epoch_079/ex b b
 560 | train/epoch_079/ex d d
 561 | train/epoch_079{1.62s}
 562 | train/epoch_080/loss 6.6700
 563 | train/epoch_080/ex bbb jjj
 564 | train/epoch_080/ex cccc cccc
 565 | train/epoch_080/ex de ec
 566 | train/epoch_080/ex jjjj jjjj
 567 | train/epoch_080/ex dddd dddd
 568 | train/epoch_080{1.69s}
 569 | train/epoch_081/loss 6.2871
 570 | train/epoch_081/ex ii hi
 571 | train/epoch_081/ex hh ii
 572 | train/epoch_081/ex da gd
 573 | train/epoch_081/ex jg jd
 574 | train/epoch_081/ex eei dee
 575 | train/epoch_081{1.69s}
 576 | train/epoch_082/loss 6.6473
 577 | train/epoch_082/ex dddg gddd
 578 | train/epoch_082/ex eeb ebb
 579 | train/epoch_082/ex didi fdfd
 580 | train/epoch_082/ex cc ii
 581 | train/epoch_082/ex bdb edb
 582 | train/epoch_082{1.62s}
 583 | train/epoch_083/loss 6.8588
 584 | train/epoch_083/ex ggg gge
 585 | train/epoch_083/ex fffe efff
 586 | train/epoch_083/ex ccccc dcccc
 587 | train/epoch_083/ex fafa adea
 588 | train/epoch_083/ex cccccc cceeie
 589 | train/epoch_083{1.69s}
 590 | train/epoch_084/loss 6.4701
 591 | train/epoch_084/ex hhh bhh
 592 | train/epoch_084/ex eee geg
 593 | train/epoch_084/ex ccccc ceeee
 594 | train/epoch_084/ex dddd ddad
 595 | train/epoch_084/ex jc fj
 596 | train/epoch_084{1.68s}
 597 | train/epoch_085/loss 6.4537
 598 | train/epoch_085/ex aa ef
 599 | train/epoch_085/ex hhh fff
 600 | train/epoch_085/ex aaaa aggg
 601 | train/epoch_085/ex hhh hhh
 602 | train/epoch_085/ex c c
 603 | train/epoch_085{1.64s}
 604 | train/epoch_086/loss 6.0545
 605 | train/epoch_086/ex iiiii eeeee
 606 | train/epoch_086/ex eeej jejj
 607 | train/epoch_086/ex ccc aaa
 608 | train/epoch_086/ex ggggg hgggg
 609 | train/epoch_086/ex c c
 610 | train/epoch_086{1.63s}
 611 | train/epoch_087/loss 6.5613
 612 | train/epoch_087/ex aaaaaaa fffhaah
 613 | train/epoch_087/ex b a
 614 | train/epoch_087/ex iiii iibi
 615 | train/epoch_087/ex gg he
 616 | train/epoch_087/ex ffff fffg
 617 | train/epoch_087{1.71s}
 618 | train/epoch_088/loss 6.4960
 619 | train/epoch_088/ex eee eei
 620 | train/epoch_088/ex hch hhc
 621 | train/epoch_088/ex bf fi
 622 | train/epoch_088/ex bbb bbb
 623 | train/epoch_088/ex ddddddd ddddddd
 624 | train/epoch_088{1.59s}
 625 | train/epoch_089/loss 6.1300
 626 | train/epoch_089/ex dddddddddddd dddddddddddd
 627 | train/epoch_089/ex ccc ccc
 628 | train/epoch_089/ex ccccc dcccc
 629 | train/epoch_089/ex ccc ccc
 630 | train/epoch_089/ex bb bh
 631 | train/epoch_089{1.69s}
 632 | train/epoch_090/loss 6.4890
 633 | train/epoch_090/ex cccc cccg
 634 | train/epoch_090/ex hhh iii
 635 | train/epoch_090/ex cc cc
 636 | train/epoch_090/ex c h
 637 | train/epoch_090/ex dc hd
 638 | train/epoch_090{1.68s}
 639 | train/epoch_091/loss 6.2117
 640 | train/epoch_091/ex cccc cccc
 641 | train/epoch_091/ex iiiiiii iiiiiii
 642 | train/epoch_091/ex cca cca
 643 | train/epoch_091/ex aaaaaa iaacaa
 644 | train/epoch_091/ex c c
 645 | train/epoch_091{1.74s}
 646 | train/epoch_092/loss 6.4197
 647 | train/epoch_092/ex fbf cfb
 648 | train/epoch_092/ex ccc ccj
 649 | train/epoch_092/ex bb bb
 650 | train/epoch_092/ex fff fff
 651 | train/epoch_092/ex db bf
 652 | train/epoch_092{1.66s}
 653 | train/epoch_093/loss 6.1316
 654 | train/epoch_093/ex gggggg cggggg
 655 | train/epoch_093/ex efe hef
 656 | train/epoch_093/ex jjjj jjjj
 657 | train/epoch_093/ex i d
 658 | train/epoch_093/ex eee eej
 659 | train/epoch_093{1.67s}
 660 | train/epoch_094/loss 6.6532
 661 | train/epoch_094/ex hhh hhh
 662 | train/epoch_094/ex ccgc gcgc
 663 | train/epoch_094/ex hhh dhh
 664 | train/epoch_094/ex cccccc cccccc
 665 | train/epoch_094/ex eee aaa
 666 | train/epoch_094{1.59s}
 667 | train/epoch_095/loss 6.5366
 668 | train/epoch_095/ex fb fg
 669 | train/epoch_095/ex dddddd dddcdd
 670 | train/epoch_095/ex biii ebbb
 671 | train/epoch_095/ex fb fb
 672 | train/epoch_095/ex ggg ggg
 673 | train/epoch_095{1.63s}
 674 | train/epoch_096/loss 6.7092
 675 | train/epoch_096/ex gggg fggg
 676 | train/epoch_096/ex e c
 677 | train/epoch_096/ex ddd ddd
 678 | train/epoch_096/ex i f
 679 | train/epoch_096/ex i i
 680 | train/epoch_096{1.71s}
 681 | train/epoch_097/loss 6.5643
 682 | Epoch    97: reducing learning rate of group 0 to 5.0000e-04.
 683 | train/epoch_097/ex bbbbbb dbbbbb
 684 | train/epoch_097/ex b b
 685 | train/epoch_097/ex hff fif
 686 | train/epoch_097/ex ccc ece
 687 | train/epoch_097/ex addddd ddddda
 688 | train/epoch_097{1.65s}
 689 | train/epoch_098/loss 6.5670
 690 | train/epoch_098/ex ffh jeh
 691 | train/epoch_098/ex ii di
 692 | train/epoch_098/ex cccccc cceecc
 693 | train/epoch_098/ex e a
 694 | train/epoch_098/ex jjjj jjjj
 695 | train/epoch_098{1.66s}
 696 | train/epoch_099/loss 6.3209
 697 | train/epoch_099/ex bbb bfb
 698 | train/epoch_099/ex fffff fffff
 699 | train/epoch_099/ex je ge
 700 | train/epoch_099/ex gjgjgj jjjggj
 701 | train/epoch_099/ex ccc ccc
 702 | train/epoch_099{1.64s}
 703 | train/epoch_100/loss 6.8810
 704 | train/epoch_100/ex jiij ijii
 705 | train/epoch_100/ex ggg ggj
 706 | train/epoch_100/ex hhh hhh
 707 | train/epoch_100/ex gg gg
 708 | train/epoch_100/ex iii eej
 709 | train/epoch_100{1.69s}
 710 | train/epoch_101/loss 6.2407
 711 | train/epoch_101/ex ic ch
 712 | train/epoch_101/ex ccc cjc
 713 | train/epoch_101/ex ic fc
 714 | train/epoch_101/ex jjh hjj
 715 | train/epoch_101/ex hhhhh jhjhj
 716 | train/epoch_101{1.68s}
 717 | train/epoch_102/loss 6.1463
 718 | train/epoch_102/ex adddaa djajag
 719 | train/epoch_102/ex iii hhh
 720 | train/epoch_102/ex eeee eaee
 721 | train/epoch_102/ex d f
 722 | train/epoch_102/ex ggggh hhghh
 723 | train/epoch_102{1.70s}
 724 | train/epoch_103/loss 6.5568
 725 | train/epoch_103/ex jffjf jjfjj
 726 | train/epoch_103/ex bbb bbb
 727 | train/epoch_103/ex jjjjjjccj cjcjcjjcj
 728 | train/epoch_103/ex hhh hhh
 729 | train/epoch_103/ex hhh hhh
 730 | train/epoch_103{1.71s}
 731 | train/epoch_104/loss 6.4236
 732 | train/epoch_104/ex jjj iii
 733 | train/epoch_104/ex aaaaaaaaa aaaaaaaaa
 734 | train/epoch_104/ex eeea ggaa
 735 | train/epoch_104/ex i i
 736 | train/epoch_104/ex bbbb bbbb
 737 | train/epoch_104{1.65s}
 738 | train/epoch_105/loss 6.5115
 739 | train/epoch_105/ex iiiii iiiia
 740 | train/epoch_105/ex aai aii
 741 | train/epoch_105/ex jjjd hhhj
 742 | train/epoch_105/ex ffff ffff
 743 | train/epoch_105/ex ffjjff jffffj
 744 | train/epoch_105{1.72s}
 745 | train/epoch_106/loss 6.6293
 746 | train/epoch_106/ex c c
 747 | train/epoch_106/ex bd df
 748 | train/epoch_106/ex cc cg
 749 | train/epoch_106/ex jhhj hjjj
 750 | train/epoch_106/ex hhhh hhhh
 751 | train/epoch_106{1.67s}
 752 | train/epoch_107/loss 7.0168
 753 | train/epoch_107/ex cccc cccc
 754 | train/epoch_107/ex jjjjjjjjjj jjhhjhjjhh
 755 | train/epoch_107/ex i f
 756 | train/epoch_107/ex b c
 757 | train/epoch_107/ex aaa aab
 758 | train/epoch_107{1.69s}
 759 | train/epoch_108/loss 6.7053
 760 | Epoch   108: reducing learning rate of group 0 to 2.5000e-04.
 761 | train/epoch_108/ex fbfb ffbf
 762 | train/epoch_108/ex e e
 763 | train/epoch_108/ex hhh hhh
 764 | train/epoch_108/ex aaaaa jaaaa
 765 | train/epoch_108/ex e e
 766 | train/epoch_108{1.66s}
 767 | train/epoch_109/loss 6.0841
 768 | train/epoch_109/ex jc ej
 769 | train/epoch_109/ex hhhhhhhh chhhhhcc
 770 | train/epoch_109/ex geg hee
 771 | train/epoch_109/ex acacac caacac
 772 | train/epoch_109/ex gj bg
 773 | train/epoch_109{1.74s}
 774 | train/epoch_110/loss 6.3016
 775 | train/epoch_110/ex ic ic
 776 | train/epoch_110/ex j e
 777 | train/epoch_110/ex fffdd ffddd
 778 | train/epoch_110/ex hhgg chha
 779 | train/epoch_110/ex iej fij
 780 | train/epoch_110{1.63s}
 781 | train/epoch_111/loss 6.5304
 782 | train/epoch_111/ex dd dd
 783 | train/epoch_111/ex ccc ccc
 784 | train/epoch_111/ex aaa aaf
 785 | train/epoch_111/ex hhhhhhhhc ccchhhhcc
 786 | train/epoch_111/ex ccccc ccfcc
 787 | train/epoch_111{1.73s}
 788 | train/epoch_112/loss 6.1326
 789 | train/epoch_112/ex ib ib
 790 | train/epoch_112/ex ggg ggg
 791 | train/epoch_112/ex ggggg gjggg
 792 | train/epoch_112/ex dddddd ddddic
 793 | train/epoch_112/ex hhh eee
 794 | train/epoch_112{1.72s}
 795 | train/epoch_113/loss 5.9173
 796 | train/epoch_113/ex cccc cccc
 797 | train/epoch_113/ex cb bc
 798 | train/epoch_113/ex gggggg ggggbg
 799 | train/epoch_113/ex jjbb gbbb
 800 | train/epoch_113/ex ddf ffd
 801 | train/epoch_113{1.71s}
 802 | train/epoch_114/loss 6.6359
 803 | train/epoch_114/ex bggb bgbg
 804 | train/epoch_114/ex aaa aaa
 805 | train/epoch_114/ex j j
 806 | train/epoch_114/ex edede ddedi
 807 | train/epoch_114/ex heehe ehbdh
 808 | train/epoch_114{1.61s}
 809 | train/epoch_115/loss 5.9474
 810 | train/epoch_115/ex ddd bdd
 811 | train/epoch_115/ex bbbgg bbgbb
 812 | train/epoch_115/ex ccccc ccccc
 813 | train/epoch_115/ex ffff ffff
 814 | train/epoch_115/ex j e
 815 | train/epoch_115{1.72s}
 816 | train/epoch_116/loss 6.7458
 817 | train/epoch_116/ex fff aaa
 818 | train/epoch_116/ex eee iie
 819 | train/epoch_116/ex ggggggg ggggigi
 820 | train/epoch_116/ex e h
 821 | train/epoch_116/ex cc hc
 822 | train/epoch_116{1.58s}
 823 | train/epoch_117/loss 5.9001
 824 | train/epoch_117/ex d h
 825 | train/epoch_117/ex cccc cccc
 826 | train/epoch_117/ex aeea eeaa
 827 | train/epoch_117/ex iiiia iiiei
 828 | train/epoch_117/ex did ied
 829 | train/epoch_117{1.70s}
 830 | train/epoch_118/loss 6.5518
 831 | train/epoch_118/ex gj jb
 832 | train/epoch_118/ex jj aa
 833 | train/epoch_118/ex ccce eccc
 834 | train/epoch_118/ex dddddddd ffbfffff
 835 | train/epoch_118/ex he ch
 836 | train/epoch_118{1.68s}
 837 | train/epoch_119/loss 6.4336
 838 | train/epoch_119/ex ddg add
 839 | train/epoch_119/ex dd dd
 840 | train/epoch_119/ex eeeeeee eeeeeee
 841 | train/epoch_119/ex iiii iiii
 842 | train/epoch_119/ex ififf iiiif
 843 | train/epoch_119{1.65s}
 844 | train/epoch_120/loss 6.3349
 845 | train/epoch_120/ex df df
 846 | train/epoch_120/ex fff fff
 847 | train/epoch_120/ex jjjjj hhhhh
 848 | train/epoch_120/ex aaaaaaa aaaaaaa
 849 | train/epoch_120/ex bigb igbb
 850 | train/epoch_120{1.65s}
 851 | train/epoch_121/loss 6.3156
 852 | train/epoch_121/ex icic cjii
 853 | train/epoch_121/ex jj jj
 854 | train/epoch_121/ex cd cg
 855 | train/epoch_121/ex jjjj djjj
 856 | train/epoch_121/ex eeee eeee
 857 | train/epoch_121{1.65s}
 858 | train/epoch_122/loss 6.7921
 859 | train/epoch_122/ex dd dd
 860 | train/epoch_122/ex eeeeeeeee eeeeeeeee
 861 | train/epoch_122/ex fffff fffff
 862 | train/epoch_122/ex hhh hjh
 863 | train/epoch_122/ex aaa aaa
 864 | train/epoch_122{1.66s}
 865 | train/epoch_123/loss 6.4344
 866 | train/epoch_123/ex gggggggg aaaaagaa
 867 | train/epoch_123/ex ccccc ccccc
 868 | train/epoch_123/ex ifififfiff ififfifiif
 869 | train/epoch_123/ex iai fif
 870 | train/epoch_123/ex i i
 871 | train/epoch_123{1.70s}
 872 | train/epoch_124/loss 6.5039
 873 | train/epoch_124/ex jjjj jjjj
 874 | train/epoch_124/ex c f
 875 | train/epoch_124/ex jjjjj jjjjj
 876 | train/epoch_124/ex jb ej
 877 | train/epoch_124/ex jjjjj jjjja
 878 | train/epoch_124{1.63s}
 879 | train/epoch_125/loss 6.2283
 880 | train/epoch_125/ex aa ad
 881 | train/epoch_125/ex fjff ffjf
 882 | train/epoch_125/ex d a
 883 | train/epoch_125/ex hhhh hhhh
 884 | train/epoch_125/ex eeeee eeeee
 885 | train/epoch_125{1.74s}
 886 | train/epoch_126/loss 6.2067
 887 | train/epoch_126/ex dc id
 888 | train/epoch_126/ex ccc ccc
 889 | train/epoch_126/ex hhh hhh
 890 | train/epoch_126/ex iii iii
 891 | train/epoch_126/ex e h
 892 | train/epoch_126{1.64s}
 893 | train/epoch_127/loss 6.3030
 894 | train/epoch_127/ex aaa hhh
 895 | train/epoch_127/ex b j
 896 | train/epoch_127/ex hj ha
 897 | train/epoch_127/ex i b
 898 | train/epoch_127/ex ccg cgg
 899 | train/epoch_127{1.64s}
 900 | train/epoch_128/loss 6.2002
 901 | Epoch   128: reducing learning rate of group 0 to 1.2500e-04.
 902 | train/epoch_128/ex gde edi
 903 | train/epoch_128/ex fei ife
 904 | train/epoch_128/ex bbbbbbh bbbbhbb
 905 | train/epoch_128/ex j j
 906 | train/epoch_128/ex eeeee eeehe
 907 | train/epoch_128{1.67s}
 908 | train/epoch_129/loss 6.1837
 909 | train/epoch_129/ex ccbbbbbbbc cbcccccccc
 910 | train/epoch_129/ex gcgc gicg
 911 | train/epoch_129/ex ccbcbc bccccb
 912 | train/epoch_129/ex jdddj dddjd
 913 | train/epoch_129/ex bb gg
 914 | train/epoch_129{1.65s}
 915 | train/epoch_130/loss 6.4865
 916 | train/epoch_130/ex gg gg
 917 | train/epoch_130/ex ddddd ddddj
 918 | train/epoch_130/ex hhib hfii
 919 | train/epoch_130/ex d j
 920 | train/epoch_130/ex jjjjjjj jjjjjjj
 921 | train/epoch_130{1.64s}
 922 | train/epoch_131/loss 5.8629
 923 | train/epoch_131/ex eeeeeeeee eeeeeeeee
 924 | train/epoch_131/ex gdeg dgdg
 925 | train/epoch_131/ex fff ffg
 926 | train/epoch_131/ex dddd dddh
 927 | train/epoch_131/ex bbbb bbbb
 928 | train/epoch_131{1.69s}
 929 | train/epoch_132/loss 6.4737
 930 | train/epoch_132/ex ccccc ccccc
 931 | train/epoch_132/ex ddd ddd
 932 | train/epoch_132/ex ggg ccc
 933 | train/epoch_132/ex aag aaf
 934 | train/epoch_132/ex ch hc
 935 | train/epoch_132{1.70s}
 936 | train/epoch_133/loss 5.8846
 937 | train/epoch_133/ex hhh hhh
 938 | train/epoch_133/ex jjjjj jjjjd
 939 | train/epoch_133/ex dde jee
 940 | train/epoch_133/ex b g
 941 | train/epoch_133/ex ddii iddd
 942 | train/epoch_133{1.70s}
 943 | train/epoch_134/loss 6.2642
 944 | train/epoch_134/ex aaaaaa baaaaa
 945 | train/epoch_134/ex eeeee eeeee
 946 | train/epoch_134/ex ccj cjj
 947 | train/epoch_134/ex b d
 948 | train/epoch_134/ex j e
 949 | train/epoch_134{1.73s}
 950 | train/epoch_135/loss 6.5267
 951 | train/epoch_135/ex fj jf
 952 | train/epoch_135/ex eeeeeeee eeeeehee
 953 | train/epoch_135/ex aaaga aadga
 954 | train/epoch_135/ex fafaf feffe
 955 | train/epoch_135/ex d i
 956 | train/epoch_135{1.63s}
 957 | train/epoch_136/loss 6.0839
 958 | train/epoch_136/ex ffff ffff
 959 | train/epoch_136/ex d d
 960 | train/epoch_136/ex eeee eeee
 961 | train/epoch_136/ex ie ef
 962 | train/epoch_136/ex hb hb
 963 | train/epoch_136{1.63s}
 964 | train/epoch_137/loss 6.1981
 965 | train/epoch_137/ex ggggggggggg ggggggggggg
 966 | train/epoch_137/ex cccccccc cccccccc
 967 | train/epoch_137/ex jjj jjj
 968 | train/epoch_137/ex d b
 969 | train/epoch_137/ex iiiii iiiif
 970 | train/epoch_137{1.70s}
 971 | train/epoch_138/loss 5.9685
 972 | train/epoch_138/ex ffffff ffffff
 973 | train/epoch_138/ex hhh hhh
 974 | train/epoch_138/ex jjdd jded
 975 | train/epoch_138/ex ggg ggg
 976 | train/epoch_138/ex i j
 977 | train/epoch_138{1.69s}
 978 | train/epoch_139/loss 6.2380
 979 | train/epoch_139/ex ccc ehh
 980 | train/epoch_139/ex iiff ffii
 981 | train/epoch_139/ex hjj aah
 982 | train/epoch_139/ex hhhhh hhhhh
 983 | train/epoch_139/ex dde edd
 984 | train/epoch_139{1.71s}
 985 | train/epoch_140/loss 5.9524
 986 | train/epoch_140/ex ggg hgg
 987 | train/epoch_140/ex bb bf
 988 | train/epoch_140/ex fffffg fgffff
 989 | train/epoch_140/ex ee ee
 990 | train/epoch_140/ex fffffff fffffff
 991 | train/epoch_140{1.78s}
 992 | train/epoch_141/loss 6.1213
 993 | train/epoch_141/ex hhhhh hhhhh
 994 | train/epoch_141/ex gbgb gdbf
 995 | train/epoch_141/ex j c
 996 | train/epoch_141/ex jjjj jjjj
 997 | train/epoch_141/ex iiiii giiii
 998 | train/epoch_141{1.64s}
 999 | train/epoch_142/loss 5.9057
1000 | Epoch   142: reducing learning rate of group 0 to 6.2500e-05.
1001 | train/epoch_142/ex jjjj jjjj
1002 | train/epoch_142/ex jj jj
1003 | train/epoch_142/ex i g
1004 | train/epoch_142/ex iiiii iiiii
1005 | train/epoch_142/ex d c
1006 | train/epoch_142{1.72s}
1007 | train/epoch_143/loss 6.3737
1008 | train/epoch_143/ex da da
1009 | train/epoch_143/ex e c
1010 | train/epoch_143/ex iiiiiii iiiiiii
1011 | train/epoch_143/ex bbb bbb
1012 | train/epoch_143/ex jg ij
1013 | train/epoch_143{1.61s}
1014 | train/epoch_144/loss 6.5032
1015 | train/epoch_144/ex eieefe fddfei
1016 | train/epoch_144/ex ddb djj
1017 | train/epoch_144/ex fd fg
1018 | train/epoch_144/ex gggg gggg
1019 | train/epoch_144/ex ccccjj cccjcc
1020 | train/epoch_144{1.64s}
1021 | train/epoch_145/loss 6.1498
1022 | train/epoch_145/ex hhhh hhhh
1023 | train/epoch_145/ex ffif iifi
1024 | train/epoch_145/ex ai id
1025 | train/epoch_145/ex aja aaj
1026 | train/epoch_145/ex jj ji
1027 | train/epoch_145{1.64s}
1028 | train/epoch_146/loss 6.1023
1029 | train/epoch_146/ex d d
1030 | train/epoch_146/ex i d
1031 | train/epoch_146/ex dj jc
1032 | train/epoch_146/ex hhh hhh
1033 | train/epoch_146/ex e e
1034 | train/epoch_146{1.70s}
1035 | train/epoch_147/loss 6.7364
1036 | train/epoch_147/ex bbbbd gddgg
1037 | train/epoch_147/ex aaaa aaaa
1038 | train/epoch_147/ex ffff ffef
1039 | train/epoch_147/ex ffffff fffffa
1040 | train/epoch_147/ex cccccj jjjccj
1041 | train/epoch_147{1.68s}
1042 | train/epoch_148/loss 6.1966
1043 | train/epoch_148/ex aaaaaaa aabaaab
1044 | train/epoch_148/ex i d
1045 | train/epoch_148/ex fffff fffff
1046 | train/epoch_148/ex ddd ggg
1047 | train/epoch_148/ex fff fff
1048 | train/epoch_148{1.79s}
1049 | train/epoch_149/loss 6.2020
1050 | train/epoch_149/ex ddddd ddded
1051 | train/epoch_149/ex b b
1052 | train/epoch_149/ex ja jb
1053 | train/epoch_149/ex hhhhhhhhhhh hhhhhhhhhhh
1054 | train/epoch_149/ex ddd ggg
1055 | train/epoch_149{1.71s}
1056 | train/epoch_150/loss 5.8367
1057 | train/epoch_150/ex hhhhhhhhhaaa bhbaffbhbabb
1058 | train/epoch_150/ex h j
1059 | train/epoch_150/ex bb gg
1060 | train/epoch_150/ex e b
1061 | train/epoch_150/ex jjjj jjjj
1062 | train/epoch_150{1.64s}
1063 | train/epoch_151/loss 6.0384
1064 | train/epoch_151/ex aaa aaa
1065 | train/epoch_151/ex ii ii
1066 | train/epoch_151/ex e e
1067 | train/epoch_151/ex ccc ccc
1068 | train/epoch_151/ex ccdddd cddccc
1069 | train/epoch_151{1.71s}
1070 | train/epoch_152/loss 5.9184
1071 | train/epoch_152/ex ccbb cbbc
1072 | train/epoch_152/ex aaaaaaah ahhhhhah
1073 | train/epoch_152/ex aaaaaa geeebe
1074 | train/epoch_152/ex ee ee
1075 | train/epoch_152/ex bf db
1076 | train/epoch_152{1.69s}
1077 | train/epoch_153/loss 5.9824
1078 | train/epoch_153/ex ba ba
1079 | train/epoch_153/ex ii id
1080 | train/epoch_153/ex fffh diif
1081 | train/epoch_153/ex cccccc cccccc
1082 | train/epoch_153/ex di dh
1083 | train/epoch_153{1.75s}
1084 | train/epoch_154/loss 6.1138
1085 | train/epoch_154/ex cc cc
1086 | train/epoch_154/ex j h
1087 | train/epoch_154/ex hhhhhhh jhjjjjj
1088 | train/epoch_154/ex hhbb hbbb
1089 | train/epoch_154/ex gg cc
1090 | train/epoch_154{1.65s}
1091 | train/epoch_155/loss 6.3677
1092 | train/epoch_155/ex jj jj
1093 | train/epoch_155/ex b b
1094 | train/epoch_155/ex fj jc
1095 | train/epoch_155/ex d f
1096 | train/epoch_155/ex ggggg ggggg
1097 | train/epoch_155{1.61s}
1098 | train/epoch_156/loss 6.3078
1099 | train/epoch_156/ex bbb fbb
1100 | train/epoch_156/ex fffff hffff
1101 | train/epoch_156/ex c j
1102 | train/epoch_156/ex bcbc cbbc
1103 | train/epoch_156/ex b c
1104 | train/epoch_156{1.70s}
1105 | train/epoch_157/loss 6.2118
1106 | train/epoch_157/ex bbbb bbbb
1107 | train/epoch_157/ex d d
1108 | train/epoch_157/ex edede dbeec
1109 | train/epoch_157/ex de de
1110 | train/epoch_157/ex bbbbb jjbbb
1111 | train/epoch_157{1.67s}
1112 | train/epoch_158/loss 6.2537
1113 | train/epoch_158/ex b g
1114 | train/epoch_158/ex aaaag gdggg
1115 | train/epoch_158/ex fffff fffff
1116 | train/epoch_158/ex eeheeh heheae
1117 | train/epoch_158/ex di db
1118 | train/epoch_158{1.70s}
1119 | train/epoch_159/loss 6.4654
1120 | train/epoch_159/ex ggggh ghagg
1121 | train/epoch_159/ex jjj jjj
1122 | train/epoch_159/ex hhhhh hhhhh
1123 | train/epoch_159/ex iiiiiiiiiii iiiiiiiiiii
1124 | train/epoch_159/ex iiiii biiii
1125 | train/epoch_159{1.69s}
1126 | train/epoch_160/loss 5.6308
1127 | train/epoch_160/ex ebe ebe
1128 | train/epoch_160/ex jjj hhh
1129 | train/epoch_160/ex aj af
1130 | train/epoch_160/ex ggggg ggbbc
1131 | train/epoch_160/ex gggggg eggegg
1132 | train/epoch_160{1.70s}
1133 | train/epoch_161/loss 5.9329
1134 | train/epoch_161/ex iii iii
1135 | train/epoch_161/ex j g
1136 | train/epoch_161/ex jgjg gjjg
1137 | train/epoch_161/ex ggggg ggggh
1138 | train/epoch_161/ex ada iab
1139 | train/epoch_161{1.66s}
1140 | train/epoch_162/loss 6.1695
1141 | train/epoch_162/ex dddj cddd
1142 | train/epoch_162/ex fff fff
1143 | train/epoch_162/ex jg hg
1144 | train/epoch_162/ex e g
1145 | train/epoch_162/ex iiiii giiii
1146 | train/epoch_162{1.69s}
1147 | train/epoch_163/loss 6.4028
1148 | train/epoch_163/ex eeee eeeg
1149 | train/epoch_163/ex eee bee
1150 | train/epoch_163/ex i i
1151 | train/epoch_163/ex c c
1152 | train/epoch_163/ex hjhjhj jhhjhj
1153 | train/epoch_163{1.70s}
1154 | train/epoch_164/loss 6.2076
1155 | train/epoch_164/ex hhhhhh hhhbbh
1156 | train/epoch_164/ex aab abd
1157 | train/epoch_164/ex ha ea
1158 | train/epoch_164/ex bbbbbbbb bbbdbbbb
1159 | train/epoch_164/ex ii jj
1160 | train/epoch_164{1.69s}
1161 | train/epoch_165/loss 6.0833
1162 | train/epoch_165/ex aad daa
1163 | train/epoch_165/ex ec ed
1164 | train/epoch_165/ex ddddd ddddd
1165 | train/epoch_165/ex ffffb fffbb
1166 | train/epoch_165/ex aa fa
1167 | train/epoch_165{1.70s}
1168 | train/epoch_166/loss 6.0310
1169 | train/epoch_166/ex i j
1170 | train/epoch_166/ex aaaj jaaa
1171 | train/epoch_166/ex iig igg
1172 | train/epoch_166/ex ibi bdb
1173 | train/epoch_166/ex hhhh hhhh
1174 | train/epoch_166{1.68s}
1175 | train/epoch_167/loss 5.9586
1176 | train/epoch_167/ex eeeee eeeej
1177 | train/epoch_167/ex aaaaaaaa aaaaaaba
1178 | train/epoch_167/ex heheh hcehc
1179 | train/epoch_167/ex jgjg jgff
1180 | train/epoch_167/ex ddd dbb
1181 | train/epoch_167{1.62s}
1182 | train/epoch_168/loss 6.5112
1183 | train/epoch_168/ex bjb bjb
1184 | train/epoch_168/ex jh jf
1185 | train/epoch_168/ex jj jj
1186 | train/epoch_168/ex if ia
1187 | train/epoch_168/ex bb bb
1188 | train/epoch_168{1.70s}
1189 | train/epoch_169/loss 5.9743
1190 | train/epoch_169/ex j f
1191 | train/epoch_169/ex ffbffbfb bfbffbfb
1192 | train/epoch_169/ex e j
1193 | train/epoch_169/ex bb bb
1194 | train/epoch_169/ex cicccc cciici
1195 | train/epoch_169{1.64s}
1196 | train/epoch_170/loss 6.5227
1197 | train/epoch_170/ex cc cc
1198 | train/epoch_170/ex bj jb
1199 | train/epoch_170/ex iiiii iiiid
1200 | train/epoch_170/ex jjjj jjjj
1201 | train/epoch_170/ex aaaa aaaa
1202 | train/epoch_170{1.64s}
1203 | train/epoch_171/loss 6.1279
1204 | Epoch   171: reducing learning rate of group 0 to 3.1250e-05.
1205 | train/epoch_171/ex fffffff dffffff
1206 | train/epoch_171/ex ffcf cfff
1207 | train/epoch_171/ex ff ff
1208 | train/epoch_171/ex iiiii iiiii
1209 | train/epoch_171/ex d a
1210 | train/epoch_171{1.67s}
1211 | train/epoch_172/loss 6.4508
1212 | train/epoch_172/ex ddd ddd
1213 | train/epoch_172/ex ddedde aeeded
1214 | train/epoch_172/ex e i
1215 | train/epoch_172/ex ddd ddd
1216 | train/epoch_172/ex i a
1217 | train/epoch_172{1.69s}
1218 | train/epoch_173/loss 6.1593
1219 | train/epoch_173/ex gggg gggg
1220 | train/epoch_173/ex ejej jeej
1221 | train/epoch_173/ex gf bf
1222 | train/epoch_173/ex eeaea aaeaa
1223 | train/epoch_173/ex ddc jdd
1224 | train/epoch_173{1.64s}
1225 | train/epoch_174/loss 6.0932
1226 | train/epoch_174/ex hf fd
1227 | train/epoch_174/ex jjjjj jjjjj
1228 | train/epoch_174/ex ccffcffc fccffccf
1229 | train/epoch_174/ex i i
1230 | train/epoch_174/ex fffffffi ffiiiiif
1231 | train/epoch_174{1.61s}
1232 | train/epoch_175/loss 6.3809
1233 | train/epoch_175/ex jh hj
1234 | train/epoch_175/ex gd gd
1235 | train/epoch_175/ex fj ce
1236 | train/epoch_175/ex cb cf
1237 | train/epoch_175/ex heeehe eeehhh
1238 | train/epoch_175{1.70s}
1239 | train/epoch_176/loss 6.4938
1240 | train/epoch_176/ex ii ii
1241 | train/epoch_176/ex hhh hdh
1242 | train/epoch_176/ex iiiiiiiii iiiiiiiii
1243 | train/epoch_176/ex bbb gbb
1244 | train/epoch_176/ex gc gj
1245 | train/epoch_176{1.64s}
1246 | train/epoch_177/loss 5.6568
1247 | train/epoch_177/ex dd dd
1248 | train/epoch_177/ex iiiiic icccii
1249 | train/epoch_177/ex hdhd dhdh
1250 | train/epoch_177/ex iie iig
1251 | train/epoch_177/ex jjjjjjd jjjjjdj
1252 | train/epoch_177{1.69s}
1253 | train/epoch_178/loss 6.3999
1254 | train/epoch_178/ex ij ai
1255 | train/epoch_178/ex gggg gggd
1256 | train/epoch_178/ex j j
1257 | train/epoch_178/ex ded ede
1258 | train/epoch_178/ex ccccc ccccc
1259 | train/epoch_178{1.70s}
1260 | train/epoch_179/loss 5.7520
1261 | train/epoch_179/ex dd dd
1262 | train/epoch_179/ex ddd idd
1263 | train/epoch_179/ex iii cii
1264 | train/epoch_179/ex jjjjjj jjjjbb
1265 | train/epoch_179/ex fffff ffffg
1266 | train/epoch_179{1.78s}
1267 | train/epoch_180/loss 6.0310
1268 | train/epoch_180/ex eb be
1269 | train/epoch_180/ex aah aah
1270 | train/epoch_180/ex i i
1271 | train/epoch_180/ex bc bc
1272 | train/epoch_180/ex hhhh aaah
1273 | train/epoch_180{1.71s}
1274 | train/epoch_181/loss 6.3980
1275 | train/epoch_181/ex jjjjjj hhhhhj
1276 | train/epoch_181/ex aiifiiaa afaaafai
1277 | train/epoch_181/ex gggggggggg fgfgghggfg
1278 | train/epoch_181/ex dde cdd
1279 | train/epoch_181/ex ffe eaa
1280 | train/epoch_181{1.73s}
1281 | train/epoch_182/loss 6.1611
1282 | Epoch   182: reducing learning rate of group 0 to 1.5625e-05.
1283 | train/epoch_182/ex ddd ddd
1284 | train/epoch_182/ex ggggg ggggg
1285 | train/epoch_182/ex d i
1286 | train/epoch_182/ex aaaaaaa aaaaaaa
1287 | train/epoch_182/ex bjbjbj jbjbjj
1288 | train/epoch_182{1.63s}
1289 | train/epoch_183/loss 5.8197
1290 | train/epoch_183/ex ggggg ggggg
1291 | train/epoch_183/ex di di
1292 | train/epoch_183/ex i i
1293 | train/epoch_183/ex fgf fgf
1294 | train/epoch_183/ex dd dd
1295 | train/epoch_183{1.62s}
1296 | train/epoch_184/loss 5.7442
1297 | train/epoch_184/ex i i
1298 | train/epoch_184/ex hhh hhf
1299 | train/epoch_184/ex e e
1300 | train/epoch_184/ex bbbbb bbbgb
1301 | train/epoch_184/ex aai aii
1302 | train/epoch_184{1.67s}
1303 | train/epoch_185/loss 5.9449
1304 | train/epoch_185/ex fa ha
1305 | train/epoch_185/ex jddj cdjj
1306 | train/epoch_185/ex ccccccccc ccccccccc
1307 | train/epoch_185/ex bbbb bbba
1308 | train/epoch_185/ex idid fdid
1309 | train/epoch_185{1.69s}
1310 | train/epoch_186/loss 6.4132
1311 | train/epoch_186/ex i i
1312 | train/epoch_186/ex ffff ffff
1313 | train/epoch_186/ex d a
1314 | train/epoch_186/ex iiie geee
1315 | train/epoch_186/ex hhhh hhhh
1316 | train/epoch_186{1.64s}
1317 | train/epoch_187/loss 6.2593
1318 | train/epoch_187/ex fc cf
1319 | train/epoch_187/ex ddddddd ddddddd
1320 | train/epoch_187/ex eeeeeee eeeeeee
1321 | train/epoch_187/ex hhhhhhh hhhhhee
1322 | train/epoch_187/ex j j
1323 | train/epoch_187{1.62s}
1324 | train/epoch_188/loss 5.9596
1325 | train/epoch_188/ex hhhh hhhh
1326 | train/epoch_188/ex fff bff
1327 | train/epoch_188/ex bbb bbb
1328 | train/epoch_188/ex iiiiii ieiiii
1329 | train/epoch_188/ex edded edeee
1330 | train/epoch_188{1.65s}
1331 | train/epoch_189/loss 5.5558
1332 | train/epoch_189/ex fe fe
1333 | train/epoch_189/ex ddf dda
1334 | train/epoch_189/ex ddbd bdbd
1335 | train/epoch_189/ex iid dii
1336 | train/epoch_189/ex iii iii
1337 | train/epoch_189{1.64s}
1338 | train/epoch_190/loss 6.5355
1339 | train/epoch_190/ex g g
1340 | train/epoch_190/ex d d
1341 | train/epoch_190/ex jjjjh cjjjc
1342 | train/epoch_190/ex hhhhhh hhhhhh
1343 | train/epoch_190/ex jg gj
1344 | train/epoch_190{1.62s}
1345 | train/epoch_191/loss 6.4038
1346 | train/epoch_191/ex ggg ggg
1347 | train/epoch_191/ex fjf fjf
1348 | train/epoch_191/ex hhh hhh
1349 | train/epoch_191/ex i i
1350 | train/epoch_191/ex iii iii
1351 | train/epoch_191{1.63s}
1352 | train/epoch_192/loss 6.2900
1353 | train/epoch_192/ex b b
1354 | train/epoch_192/ex cgcg gcec
1355 | train/epoch_192/ex aaaaa aaaaa
1356 | train/epoch_192/ex jj jj
1357 | train/epoch_192/ex dc dc
1358 | train/epoch_192{1.66s}
1359 | train/epoch_193/loss 6.0979
1360 | train/epoch_193/ex d c
1361 | train/epoch_193/ex aaa aaa
1362 | train/epoch_193/ex bi ib
1363 | train/epoch_193/ex ff fa
1364 | train/epoch_193/ex cj cj
1365 | train/epoch_193{1.64s}
1366 | train/epoch_194/loss 5.9652
1367 | train/epoch_194/ex i i
1368 | train/epoch_194/ex ggg ggg
1369 | train/epoch_194/ex fd fd
1370 | train/epoch_194/ex ggggjj jjjjgj
1371 | train/epoch_194/ex hhhhf hffhh
1372 | train/epoch_194{1.65s}
1373 | train/epoch_195/loss 5.6970
1374 | train/epoch_195/ex jjdj djdd
1375 | train/epoch_195/ex c h
1376 | train/epoch_195/ex hhhhhhhh dbhbdbhd
1377 | train/epoch_195/ex d b
1378 | train/epoch_195/ex i i
1379 | train/epoch_195{1.65s}
1380 | train/epoch_196/loss 6.1554
1381 | train/epoch_196/ex ggg jgg
1382 | train/epoch_196/ex gg hh
1383 | train/epoch_196/ex hhhh hhhh
1384 | train/epoch_196/ex ddddddd hdddddd
1385 | train/epoch_196/ex bgbggb ggbbbg
1386 | train/epoch_196{1.72s}
1387 | train/epoch_197/loss 5.6966
1388 | train/epoch_197/ex e a
1389 | train/epoch_197/ex d a
1390 | train/epoch_197/ex e c
1391 | train/epoch_197/ex gdg ggd
1392 | train/epoch_197/ex bbc cbb
1393 | train/epoch_197{1.75s}
1394 | train/epoch_198/loss 6.3850
1395 | train/epoch_198/ex ccic icci
1396 | train/epoch_198/ex i h
1397 | train/epoch_198/ex ici ijc
1398 | train/epoch_198/ex bb bb
1399 | train/epoch_198/ex jgjg gejj
1400 | train/epoch_198{1.72s}
1401 | train/epoch_199/loss 6.4086
1402 | train/epoch_199/ex iiiii iiiii
1403 | train/epoch_199/ex ddd ddd
1404 | train/epoch_199/ex c g
1405 | train/epoch_199/ex j f
1406 | train/epoch_199/ex aaag gagg
1407 | train/epoch_199{1.67s}
1408 | train/epoch_200/loss 6.4065
1409 | Epoch   200: reducing learning rate of group 0 to 7.8125e-06.
1410 | train/epoch_200/ex ffbbffbf bfbbfbfb
1411 | train/epoch_200/ex ggd dgd
1412 | train/epoch_200/ex ccccc ccccc
1413 | train/epoch_200/ex eeee eeee
1414 | train/epoch_200/ex dd bb
1415 | train/epoch_200{1.61s}
1416 | train/epoch_201/loss 6.2569
1417 | train/epoch_201/ex b h
1418 | train/epoch_201/ex ddbb bdbb
1419 | train/epoch_201/ex aaaaaaaa aaaaaaaa
1420 | train/epoch_201/ex jjj jji
1421 | train/epoch_201/ex jaj ejj
1422 | train/epoch_201{1.65s}
1423 | train/epoch_202/loss 5.9009
1424 | train/epoch_202/ex aaaaai aaaiai
1425 | train/epoch_202/ex ggggg hgggg
1426 | train/epoch_202/ex jd bj
1427 | train/epoch_202/ex bb bb
1428 | train/epoch_202/ex ei ej
1429 | train/epoch_202{1.69s}
1430 | train/epoch_203/loss 5.9967
1431 | train/epoch_203/ex ggggf fggfh
1432 | train/epoch_203/ex bj bg
1433 | train/epoch_203/ex ababab baccab
1434 | train/epoch_203/ex aaaaa ajeae
1435 | train/epoch_203/ex deded dedde
1436 | train/epoch_203{1.71s}
1437 | train/epoch_204/loss 5.9941
1438 | train/epoch_204/ex ccee eecc
1439 | train/epoch_204/ex gjjg jggj
1440 | train/epoch_204/ex ccccccccc ccccccccc
1441 | train/epoch_204/ex bbaaa bbabb
1442 | train/epoch_204/ex d d
1443 | train/epoch_204{1.66s}
1444 | train/epoch_205/loss 6.2342
1445 | train/epoch_205/ex e i
1446 | train/epoch_205/ex ggg ggg
1447 | train/epoch_205/ex ee dd
1448 | train/epoch_205/ex d g
1449 | train/epoch_205/ex j j
1450 | train/epoch_205{1.76s}
1451 | train/epoch_206/loss 5.9397
1452 | train/epoch_206/ex iiiiii iiiiii
1453 | train/epoch_206/ex gd db
1454 | train/epoch_206/ex c d
1455 | train/epoch_206/ex e i
1456 | train/epoch_206/ex dddf fffd
1457 | train/epoch_206{1.71s}
1458 | train/epoch_207/loss 5.6915
1459 | train/epoch_207/ex agag ggag
1460 | train/epoch_207/ex fff fff
1461 | train/epoch_207/ex ccc ccc
1462 | train/epoch_207/ex b d
1463 | train/epoch_207/ex iiiiiiiiii iiiiiiiiii
1464 | train/epoch_207{1.68s}
1465 | train/epoch_208/loss 6.0428
1466 | train/epoch_208/ex jf fj
1467 | train/epoch_208/ex c c
1468 | train/epoch_208/ex jjjjj jjjjj
1469 | train/epoch_208/ex eb de
1470 | train/epoch_208/ex iiiai iaiii
1471 | train/epoch_208{1.64s}
1472 | train/epoch_209/loss 5.8970
1473 | train/epoch_209/ex ii bb
1474 | train/epoch_209/ex jf ci
1475 | train/epoch_209/ex hi id
1476 | train/epoch_209/ex hhhff hfhhf
1477 | train/epoch_209/ex c d
1478 | train/epoch_209{1.67s}
1479 | train/epoch_210/loss 5.9637
1480 | train/epoch_210/ex eeeeeed dbbedeb
1481 | train/epoch_210/ex iii iii
1482 | train/epoch_210/ex ccccccccg ccggggccg
1483 | train/epoch_210/ex jjjjj jjjjj
1484 | train/epoch_210/ex dd ff
1485 | train/epoch_210{1.71s}
1486 | train/epoch_211/loss 6.3755
1487 | Epoch   211: reducing learning rate of group 0 to 3.9063e-06.
1488 | train/epoch_211/ex a e
1489 | train/epoch_211/ex iiiii iiiii
1490 | train/epoch_211/ex d d
1491 | train/epoch_211/ex bgbgbg bbgbge
1492 | train/epoch_211/ex i i
1493 | train/epoch_211{1.69s}
1494 | train/epoch_212/loss 6.2919
1495 | train/epoch_212/ex aaa haa
1496 | train/epoch_212/ex c i
1497 | train/epoch_212/ex gg gg
1498 | train/epoch_212/ex i i
1499 | train/epoch_212/ex aaaaa aaeaa
1500 | train/epoch_212{1.57s}
1501 | train/epoch_213/loss 5.9976
1502 | train/epoch_213/ex i f
1503 | train/epoch_213/ex hhhhh hhhhh
1504 | train/epoch_213/ex bbi bbi
1505 | train/epoch_213/ex eeee eaaa
1506 | train/epoch_213/ex cc cc
1507 | train/epoch_213{1.65s}
1508 | train/epoch_214/loss 6.1092
1509 | train/epoch_214/ex i i
1510 | train/epoch_214/ex ga jg
1511 | train/epoch_214/ex i f
1512 | train/epoch_214/ex e a
1513 | train/epoch_214/ex hhhhhh hhiihh
1514 | train/epoch_214{1.66s}
1515 | train/epoch_215/loss 6.0899
1516 | train/epoch_215/ex ddd ddd
1517 | train/epoch_215/ex b d
1518 | train/epoch_215/ex hhhhh hhhhh
1519 | train/epoch_215/ex ggggg egggg
1520 | train/epoch_215/ex cjcjcj acfjjf
1521 | train/epoch_215{1.64s}
1522 | train/epoch_216/loss 5.9925
1523 | train/epoch_216/ex ddd ddd
1524 | train/epoch_216/ex ffffhf hhfhhf
1525 | train/epoch_216/ex ia ia
1526 | train/epoch_216/ex da db
1527 | train/epoch_216/ex hhh jjj
1528 | train/epoch_216{1.71s}
1529 | train/epoch_217/loss 6.0272
1530 | train/epoch_217/ex fifi fifi
1531 | train/epoch_217/ex ge ge
1532 | train/epoch_217/ex iib jbb
1533 | train/epoch_217/ex jd if
1534 | train/epoch_217/ex acacac caccca
1535 | train/epoch_217{1.73s}
1536 | train/epoch_218/loss 5.8920
1537 | train/epoch_218/ex ififi ififi
1538 | train/epoch_218/ex c j
1539 | train/epoch_218/ex gg gg
1540 | train/epoch_218/ex bbbbb bbbbb
1541 | train/epoch_218/ex j j
1542 | train/epoch_218{1.71s}
1543 | train/epoch_219/loss 5.9707
1544 | train/epoch_219/ex ff jj
1545 | train/epoch_219/ex dbdb dbdd
1546 | train/epoch_219/ex ccjjjc eeejcj
1547 | train/epoch_219/ex i i
1548 | train/epoch_219/ex eeeee eeeee
1549 | train/epoch_219{1.61s}
1550 | train/epoch_220/loss 5.8610
1551 | train/epoch_220/ex j j
1552 | train/epoch_220/ex cj cj
1553 | train/epoch_220/ex ffj jjf
1554 | train/epoch_220/ex ggee ggeg
1555 | train/epoch_220/ex ji ji
1556 | train/epoch_220{1.71s}
1557 | train/epoch_221/loss 6.1566
1558 | train/epoch_221/ex ef fe
1559 | train/epoch_221/ex ie bi
1560 | train/epoch_221/ex df fd
1561 | train/epoch_221/ex b d
1562 | train/epoch_221/ex i j
1563 | train/epoch_221{1.69s}
1564 | train/epoch_222/loss 6.2244
1565 | Epoch   222: reducing learning rate of group 0 to 1.9531e-06.
1566 | train/epoch_222/ex gggggg iggggg
1567 | train/epoch_222/ex gggge geegg
1568 | train/epoch_222/ex eee cee
1569 | train/epoch_222/ex cjcj cjce
1570 | train/epoch_222/ex eebeebe ebbbebe
1571 | train/epoch_222{1.61s}
1572 | train/epoch_223/loss 6.3746
1573 | train/epoch_223/ex eec cee
1574 | train/epoch_223/ex eee eee
1575 | train/epoch_223/ex dda aaj
1576 | train/epoch_223/ex i d
1577 | train/epoch_223/ex gfg jfg
1578 | train/epoch_223{1.67s}
1579 | train/epoch_224/loss 5.9124
1580 | train/epoch_224/ex e h
1581 | train/epoch_224/ex eee eee
1582 | train/epoch_224/ex bbc bhb
1583 | train/epoch_224/ex dddd addd
1584 | train/epoch_224/ex hfhf fhhf
1585 | train/epoch_224{1.65s}
1586 | train/epoch_225/loss 6.3971
1587 | train/epoch_225/ex gjgj agaj
1588 | train/epoch_225/ex hhh ddd
1589 | train/epoch_225/ex fig gfi
1590 | train/epoch_225/ex i e
1591 | train/epoch_225/ex d d
1592 | train/epoch_225{1.64s}
1593 | train/epoch_226/loss 6.4814
1594 | train/epoch_226/ex iiii iiii
1595 | train/epoch_226/ex e j
1596 | train/epoch_226/ex fifi hifi
1597 | train/epoch_226/ex ah eh
1598 | train/epoch_226/ex ffcfc chchc
1599 | train/epoch_226{1.63s}
1600 | train/epoch_227/loss 6.2232
1601 | train/epoch_227/ex fjbj fbjh
1602 | train/epoch_227/ex aaaaa aaaaa
1603 | train/epoch_227/ex gjj gee
1604 | train/epoch_227/ex i i
1605 | train/epoch_227/ex iiiiiiiiiii iiiiiiiiiii
1606 | train/epoch_227{1.67s}
1607 | train/epoch_228/loss 6.3387
1608 | train/epoch_228/ex dddd dddd
1609 | train/epoch_228/ex cccc cccc
1610 | train/epoch_228/ex dddd ahhh
1611 | train/epoch_228/ex jgjg jgja
1612 | train/epoch_228/ex bab aba
1613 | train/epoch_228{1.69s}
1614 | train/epoch_229/loss 5.9282
1615 | train/epoch_229/ex iii iii
1616 | train/epoch_229/ex e e
1617 | train/epoch_229/ex ccc cch
1618 | train/epoch_229/ex iieei eeiee
1619 | train/epoch_229/ex ccccc ccccc
1620 | train/epoch_229{1.67s}
1621 | train/epoch_230/loss 6.0003
1622 | train/epoch_230/ex jf cj
1623 | train/epoch_230/ex bb dd
1624 | train/epoch_230/ex ggg ggc
1625 | train/epoch_230/ex aaaaa aaaad
1626 | train/epoch_230/ex c h
1627 | train/epoch_230{1.62s}
1628 | train/epoch_231/loss 6.3400
1629 | train/epoch_231/ex hfh fhe
1630 | train/epoch_231/ex iiiiiii iiiiiii
1631 | train/epoch_231/ex cci hcc
1632 | train/epoch_231/ex iii iii
1633 | train/epoch_231/ex ggg ggg
1634 | train/epoch_231{1.65s}
1635 | train/epoch_232/loss 6.1031
1636 | train/epoch_232/ex iii iii
1637 | train/epoch_232/ex ggggg ggggg
1638 | train/epoch_232/ex i i
1639 | train/epoch_232/ex bffb bbfb
1640 | train/epoch_232/ex dddd hddd
1641 | train/epoch_232{1.61s}
1642 | train/epoch_233/loss 5.8287
1643 | Epoch   233: reducing learning rate of group 0 to 9.7656e-07.
1644 | train/epoch_233/ex ia ai
1645 | train/epoch_233/ex ddddg dddfd
1646 | train/epoch_233/ex jjjd djdj
1647 | train/epoch_233/ex ai bi
1648 | train/epoch_233/ex hh jh
1649 | train/epoch_233{1.71s}
1650 | train/epoch_234/loss 6.2340
1651 | train/epoch_234/ex b b
1652 | train/epoch_234/ex iiii iiii
1653 | train/epoch_234/ex dii idd
1654 | train/epoch_234/ex cccc cccc
1655 | train/epoch_234/ex hhhhh hhhhh
1656 | train/epoch_234{1.73s}
1657 | train/epoch_235/loss 6.3833
1658 | train/epoch_235/ex ddd hhh
1659 | train/epoch_235/ex ddd idd
1660 | train/epoch_235/ex gggg fffg
1661 | train/epoch_235/ex i b
1662 | train/epoch_235/ex dddd dddd
1663 | train/epoch_235{1.68s}
1664 | train/epoch_236/loss 6.1122
1665 | train/epoch_236/ex ddee dded
1666 | train/epoch_236/ex dd dd
1667 | train/epoch_236/ex jg ic
1668 | train/epoch_236/ex fff hff
1669 | train/epoch_236/ex jjjj jjjj
1670 | train/epoch_236{1.66s}
1671 | train/epoch_237/loss 6.5434
1672 | train/epoch_237/ex ig ji
1673 | train/epoch_237/ex cb gc
1674 | train/epoch_237/ex fe ef
1675 | train/epoch_237/ex fjjf ghgg
1676 | train/epoch_237/ex eeee eeee
1677 | train/epoch_237{1.71s}
1678 | train/epoch_238/loss 6.2925
1679 | train/epoch_238/ex eee eee
1680 | train/epoch_238/ex e f
1681 | train/epoch_238/ex ffee feee
1682 | train/epoch_238/ex i j
1683 | train/epoch_238/ex fgf ggf
1684 | train/epoch_238{1.68s}
1685 | train/epoch_239/loss 6.2384
1686 | train/epoch_239/ex j j
1687 | train/epoch_239/ex ii ii
1688 | train/epoch_239/ex bbbbb bbbbb
1689 | train/epoch_239/ex aaf faa
1690 | train/epoch_239/ex eeeeeeee eaeeeeee
1691 | train/epoch_239{1.74s}
1692 | train/epoch_240/loss 6.4463
1693 | train/epoch_240/ex i h
1694 | train/epoch_240/ex ecce eece
1695 | train/epoch_240/ex iei fie
1696 | train/epoch_240/ex fjjjjff fjfjfjj
1697 | train/epoch_240/ex jbj jdb
1698 | train/epoch_240{1.71s}
1699 | train/epoch_241/loss 6.2361
1700 | train/epoch_241/ex aaa ggg
1701 | train/epoch_241/ex dfddf dfddf
1702 | train/epoch_241/ex bb bb
1703 | train/epoch_241/ex bj eb
1704 | train/epoch_241/ex iii iii
1705 | train/epoch_241{1.63s}
1706 | train/epoch_242/loss 6.2986
1707 | train/epoch_242/ex bb bb
1708 | train/epoch_242/ex jjjj ijjj
1709 | train/epoch_242/ex ccccc ccccc
1710 | train/epoch_242/ex jhj jhc
1711 | train/epoch_242/ex jjjj jjjj
1712 | train/epoch_242{1.68s}
1713 | train/epoch_243/loss 5.7629
1714 | train/epoch_243/ex ee ff
1715 | train/epoch_243/ex iiiid idiii
1716 | train/epoch_243/ex hi hf
1717 | train/epoch_243/ex cccc hccc
1718 | train/epoch_243/ex hhhhhhh hhhhhhh
1719 | train/epoch_243{1.73s}
1720 | train/epoch_244/loss 5.8432
1721 | Epoch   244: reducing learning rate of group 0 to 4.8828e-07.
1722 | train/epoch_244/ex aaaaaaa aaaaaaa
1723 | train/epoch_244/ex ae ea
1724 | train/epoch_244/ex bbbbb bbbbb
1725 | train/epoch_244/ex fgg ggi
1726 | train/epoch_244/ex bbbb bbbd
1727 | train/epoch_244{1.66s}
1728 | train/epoch_245/loss 5.7299
1729 | train/epoch_245/ex cacaa jgagg
1730 | train/epoch_245/ex cjc cfj
1731 | train/epoch_245/ex bj gb
1732 | train/epoch_245/ex iie iib
1733 | train/epoch_245/ex hhj hjj
1734 | train/epoch_245{1.69s}
1735 | train/epoch_246/loss 6.3262
1736 | train/epoch_246/ex cccc cccc
1737 | train/epoch_246/ex bbbbj jbbbg
1738 | train/epoch_246/ex jb fj
1739 | train/epoch_246/ex c d
1740 | train/epoch_246/ex d b
1741 | train/epoch_246{1.68s}
1742 | train/epoch_247/loss 5.9745
1743 | train/epoch_247/ex djd jdj
1744 | train/epoch_247/ex hhhh ihhh
1745 | train/epoch_247/ex ggggg ggggg
1746 | train/epoch_247/ex iii iii
1747 | train/epoch_247/ex fd jf
1748 | train/epoch_247{1.69s}
1749 | train/epoch_248/loss 5.5535
1750 | train/epoch_248/ex fff fff
1751 | train/epoch_248/ex ff ff
1752 | train/epoch_248/ex bbg bbg
1753 | train/epoch_248/ex jjf eje
1754 | train/epoch_248/ex ccc ecc
1755 | train/epoch_248{1.71s}
1756 | train/epoch_249/loss 6.6518
1757 | train/epoch_249/ex j b
1758 | train/epoch_249/ex d d
1759 | train/epoch_249/ex ggg igg
1760 | train/epoch_249/ex eeee eeee
1761 | train/epoch_249/ex jjjj jjjg
1762 | train/epoch_249{1.60s}
1763 | train/epoch_250/loss 5.9304
1764 | train/epoch_250/ex e h
1765 | train/epoch_250/ex ihihihih iiihhhhi
1766 | train/epoch_250/ex jjjjjjj ejjjjjj
1767 | train/epoch_250/ex cc hc
1768 | train/epoch_250/ex iiiii iiiii
1769 | train/epoch_250{1.70s}
1770 | train/epoch_251/loss 5.8658
1771 | train/epoch_251/ex aaaaa aaaaa
1772 | train/epoch_251/ex aaa aaa
1773 | train/epoch_251/ex ah ja
1774 | train/epoch_251/ex bbbbb bbbbb
1775 | train/epoch_251/ex adf dfa
1776 | train/epoch_251{1.65s}
1777 | train/epoch_252/loss 5.8809
1778 | train/epoch_252/ex ig cg
1779 | train/epoch_252/ex ac ce
1780 | train/epoch_252/ex e a
1781 | train/epoch_252/ex ggggg hgggg
1782 | train/epoch_252/ex hbh hhg
1783 | train/epoch_252{1.61s}
1784 | train/epoch_253/loss 6.3673
1785 | train/epoch_253/ex ccccc cccch
1786 | train/epoch_253/ex ei ed
1787 | train/epoch_253/ex i i
1788 | train/epoch_253/ex jjjj jjjj
1789 | train/epoch_253/ex bb bb
1790 | train/epoch_253{1.74s}
1791 | train/epoch_254/loss 5.7348
1792 | train/epoch_254/ex hhhhhhhf ffhfhhff
1793 | train/epoch_254/ex gggg gggg
1794 | train/epoch_254/ex ccc ccc
1795 | train/epoch_254/ex fffffff fffffff
1796 | train/epoch_254/ex j a
1797 | train/epoch_254{1.69s}
1798 | train/epoch_255/loss 5.7685
1799 | train/epoch_255/ex j a
1800 | train/epoch_255/ex hfhf hhfh
1801 | train/epoch_255/ex ddd ddd
1802 | train/epoch_255/ex dfddfd dfdgfd
1803 | train/epoch_255/ex ccece eecec
1804 | train/epoch_255{1.64s}
1805 | train/epoch_256/loss 5.9912
1806 | train/epoch_256/ex iiiic iicii
1807 | train/epoch_256/ex cc cc
1808 | train/epoch_256/ex h f
1809 | train/epoch_256/ex ce ce
1810 | train/epoch_256/ex gd hg
1811 | train/epoch_256{1.67s}
1812 | train/epoch_257/loss 5.9945
1813 | train/epoch_257/ex ie ja
1814 | train/epoch_257/ex gd hc
1815 | train/epoch_257/ex cccc cccc
1816 | train/epoch_257/ex bb bb
1817 | train/epoch_257/ex ggggg ggggg
1818 | train/epoch_257{1.69s}
1819 | train/epoch_258/loss 6.1971
1820 | train/epoch_258/ex gg gg
1821 | train/epoch_258/ex b d
1822 | train/epoch_258/ex ddddddddd ddddddddd
1823 | train/epoch_258/ex jjjjjj jjjjjj
1824 | train/epoch_258/ex hh hi
1825 | train/epoch_258{1.65s}
1826 | train/epoch_259/loss 5.8641
1827 | Epoch   259: reducing learning rate of group 0 to 2.4414e-07.
1828 | train/epoch_259/ex ddd ddd
1829 | train/epoch_259/ex iiiiii iiiiid
1830 | train/epoch_259/ex fffff fffff
1831 | train/epoch_259/ex bb gg
1832 | train/epoch_259/ex gg gg
1833 | train/epoch_259{1.70s}
1834 | train/epoch_260/loss 5.9756
1835 | train/epoch_260/ex hhhhhhhhhh hhhhhhhhhh
1836 | train/epoch_260/ex c c
1837 | train/epoch_260/ex fff fff
1838 | train/epoch_260/ex ccc ggg
1839 | train/epoch_260/ex bbbbbbb bbbbbbb
1840 | train/epoch_260{1.71s}
1841 | train/epoch_261/loss 6.1036
1842 | train/epoch_261/ex i d
1843 | train/epoch_261/ex fffff fffff
1844 | train/epoch_261/ex b b
1845 | train/epoch_261/ex fj bf
1846 | train/epoch_261/ex ggg ggg
1847 | train/epoch_261{1.67s}
1848 | train/epoch_262/loss 6.1952
1849 | train/epoch_262/ex fc gc
1850 | train/epoch_262/ex i i
1851 | train/epoch_262/ex iiiee iihee
1852 | train/epoch_262/ex eeeee eeeee
1853 | train/epoch_262/ex ifi ibf
1854 | train/epoch_262{1.65s}
1855 | train/epoch_263/loss 6.0037
1856 | train/epoch_263/ex da dh
1857 | train/epoch_263/ex j i
1858 | train/epoch_263/ex gg gg
1859 | train/epoch_263/ex jcj cjc
1860 | train/epoch_263/ex cdcdddc ccdcccd
1861 | train/epoch_263{1.74s}
1862 | train/epoch_264/loss 6.1218
1863 | train/epoch_264/ex ffifi eiiif
1864 | train/epoch_264/ex aaaaa aaaah
1865 | train/epoch_264/ex fb ef
1866 | train/epoch_264/ex d e
1867 | train/epoch_264/ex e h
1868 | train/epoch_264{1.68s}
1869 | train/epoch_265/loss 6.0748
1870 | train/epoch_265/ex ddf ffh
1871 | train/epoch_265/ex jjjjjj jjjjjj
1872 | train/epoch_265/ex hhh hhh
1873 | train/epoch_265/ex jgjg jgjj
1874 | train/epoch_265/ex i c
1875 | train/epoch_265{1.65s}
1876 | train/epoch_266/loss 6.2830
1877 | train/epoch_266/ex jjjjj jhhhh
1878 | train/epoch_266/ex ccccc cccca
1879 | train/epoch_266/ex ddb ddb
1880 | train/epoch_266/ex hh hh
1881 | train/epoch_266/ex iiie iiig
1882 | train/epoch_266{1.67s}
1883 | train/epoch_267/loss 6.0740
1884 | train/epoch_267/ex aj ca
1885 | train/epoch_267/ex ce gc
1886 | train/epoch_267/ex daad adda
1887 | train/epoch_267/ex bd dh
1888 | train/epoch_267/ex hhhhhh hhhhgh
1889 | train/epoch_267{1.61s}
1890 | train/epoch_268/loss 6.2476
1891 | train/epoch_268/ex j g
1892 | train/epoch_268/ex fd di
1893 | train/epoch_268/ex bbc bbh
1894 | train/epoch_268/ex cccjj dddjd
1895 | train/epoch_268/ex cgc cgc
1896 | train/epoch_268{1.72s}
1897 | train/epoch_269/loss 6.2418
1898 | train/epoch_269/ex ccccc ccccc
1899 | train/epoch_269/ex gggg jggj
1900 | train/epoch_269/ex dc dg
1901 | train/epoch_269/ex ieeie ieeii
1902 | train/epoch_269/ex ccccccc ccccccc
1903 | train/epoch_269{1.72s}
1904 | train/epoch_270/loss 6.2247
1905 | Epoch   270: reducing learning rate of group 0 to 1.2207e-07.
1906 | train/epoch_270/ex ddd ddd
1907 | train/epoch_270/ex hhhhh hhehh
1908 | train/epoch_270/ex ggg ggg
1909 | train/epoch_270/ex fff fff
1910 | train/epoch_270/ex aeea eaea
1911 | train/epoch_270{1.68s}
1912 | train/epoch_271/loss 6.1829
1913 | train/epoch_271/ex i i
1914 | train/epoch_271/ex hhhhhhhh hhhhjhhh
1915 | train/epoch_271/ex faga faeg
1916 | train/epoch_271/ex ddd fff
1917 | train/epoch_271/ex ccccc ccccc
1918 | train/epoch_271{1.68s}
1919 | train/epoch_272/loss 6.0693
1920 | train/epoch_272/ex d d
1921 | train/epoch_272/ex eed ede
1922 | train/epoch_272/ex i b
1923 | train/epoch_272/ex fjjf ijaa
1924 | train/epoch_272/ex ddd ddd
1925 | train/epoch_272{1.71s}
1926 | train/epoch_273/loss 5.9479
1927 | train/epoch_273/ex hhh dhh
1928 | train/epoch_273/ex jjjjjjjj jjjjjjjj
1929 | train/epoch_273/ex ddddddd ddddddd
1930 | train/epoch_273/ex i d
1931 | train/epoch_273/ex bbbb bbbb
1932 | train/epoch_273{1.71s}
1933 | train/epoch_274/loss 6.2712
1934 | train/epoch_274/ex hhh hhh
1935 | train/epoch_274/ex je he
1936 | train/epoch_274/ex c d
1937 | train/epoch_274/ex b b
1938 | train/epoch_274/ex cccc ccca
1939 | train/epoch_274{1.65s}
1940 | train/epoch_275/loss 6.1563
1941 | train/epoch_275/ex d f
1942 | train/epoch_275/ex bbbbb ebbbb
1943 | train/epoch_275/ex aaaa aaaa
1944 | train/epoch_275/ex iic icc
1945 | train/epoch_275/ex caa ajj
1946 | train/epoch_275{1.69s}
1947 | train/epoch_276/loss 5.8761
1948 | train/epoch_276/ex c c
1949 | train/epoch_276/ex bbbbg bbccg
1950 | train/epoch_276/ex cj ce
1951 | train/epoch_276/ex aaaaaaa aaaaaaa
1952 | train/epoch_276/ex c c
1953 | train/epoch_276{1.67s}
1954 | train/epoch_277/loss 6.2020
1955 | train/epoch_277/ex bbbbbb bbdbbb
1956 | train/epoch_277/ex ff ff
1957 | train/epoch_277/ex ga fg
1958 | train/epoch_277/ex ddd ddd
1959 | train/epoch_277/ex ii gg
1960 | train/epoch_277{1.67s}
1961 | train/epoch_278/loss 6.3273
1962 | train/epoch_278/ex bbbb jbbb
1963 | train/epoch_278/ex agg gaa
1964 | train/epoch_278/ex i i
1965 | train/epoch_278/ex edde dedd
1966 | train/epoch_278/ex aaaagga igggiaa
1967 | train/epoch_278{1.65s}
1968 | train/epoch_279/loss 6.0416
1969 | train/epoch_279/ex gh gf
1970 | train/epoch_279/ex hhh hhh
1971 | train/epoch_279/ex cf fc
1972 | train/epoch_279/ex ccccccc cccccch
1973 | train/epoch_279/ex hhhhh hhhhh
1974 | train/epoch_279{1.72s}
1975 | train/epoch_280/loss 6.1316
1976 | train/epoch_280/ex jcjf hcjc
1977 | train/epoch_280/ex ddd aff
1978 | train/epoch_280/ex ddde eddd
1979 | train/epoch_280/ex aha hah
1980 | train/epoch_280/ex ddd bii
1981 | train/epoch_280{1.63s}
1982 | train/epoch_281/loss 6.4975
1983 | Epoch   281: reducing learning rate of group 0 to 6.1035e-08.
1984 | train/epoch_281/ex hhhhh hhhhd
1985 | train/epoch_281/ex ddddd ddddd
1986 | train/epoch_281/ex ffff jfff
1987 | train/epoch_281/ex i b
1988 | train/epoch_281/ex ddd ddd
1989 | train/epoch_281{1.68s}
1990 | train/epoch_282/loss 5.9295
1991 | train/epoch_282/ex b d
1992 | train/epoch_282/ex eeeeeee eeeeeee
1993 | train/epoch_282/ex iii iii
1994 | train/epoch_282/ex ccaca acacc
1995 | train/epoch_282/ex ceb ece
1996 | train/epoch_282{1.61s}
1997 | train/epoch_283/loss 6.3771
1998 | train/epoch_283/ex ddddd ddddd
1999 | train/epoch_283/ex bbbbbb bbbabb
2000 | train/epoch_283/ex ffff ffff
2001 | train/epoch_283/ex iii dii
2002 | train/epoch_283/ex jg gj
2003 | train/epoch_283{1.59s}
2004 | train/epoch_284/loss 6.2439
2005 | train/epoch_284/ex bbb aaa
2006 | train/epoch_284/ex jjjj jjjj
2007 | train/epoch_284/ex ffbbf fbfbb
2008 | train/epoch_284/ex aaaaa caaaa
2009 | train/epoch_284/ex dd cc
2010 | train/epoch_284{1.68s}
2011 | train/epoch_285/loss 5.8718
2012 | train/epoch_285/ex hhh hhh
2013 | train/epoch_285/ex ggggg ggggg
2014 | train/epoch_285/ex cccccccc caaaaccc
2015 | train/epoch_285/ex e i
2016 | train/epoch_285/ex aaa aad
2017 | train/epoch_285{1.65s}
2018 | train/epoch_286/loss 5.9488
2019 | train/epoch_286/ex aiai aiia
2020 | train/epoch_286/ex cccc ccce
2021 | train/epoch_286/ex iii iii
2022 | train/epoch_286/ex eeeee eeeee
2023 | train/epoch_286/ex fff fff
2024 | train/epoch_286{1.69s}
2025 | train/epoch_287/loss 6.1329
2026 | train/epoch_287/ex cccc cccc
2027 | train/epoch_287/ex fd df
2028 | train/epoch_287/ex hi df
2029 | train/epoch_287/ex dbdb bgbg
2030 | train/epoch_287/ex hhh hbb
2031 | train/epoch_287{1.66s}
2032 | train/epoch_288/loss 6.3430
2033 | train/epoch_288/ex jjjj jjjj
2034 | train/epoch_288/ex ffffffffffb bdfbfdffbdf
2035 | train/epoch_288/ex aaaaa daaaa
2036 | train/epoch_288/ex jjj jjj
2037 | train/epoch_288/ex aaa aaa
2038 | train/epoch_288{1.82s}
2039 | train/epoch_289/loss 5.8025
2040 | train/epoch_289/ex eeje bgee
2041 | train/epoch_289/ex cdcddd cdaccc
2042 | train/epoch_289/ex dhd did
2043 | train/epoch_289/ex ccccc ccccc
2044 | train/epoch_289/ex dd dd
2045 | train/epoch_289{1.75s}
2046 | train/epoch_290/loss 6.1609
2047 | train/epoch_290/ex ccccf fcccj
2048 | train/epoch_290/ex jjjj jjjj
2049 | train/epoch_290/ex i c
2050 | train/epoch_290/ex eee eee
2051 | train/epoch_290/ex fj jf
2052 | train/epoch_290{1.65s}
2053 | train/epoch_291/loss 6.2130
2054 | train/epoch_291/ex ggg ggg
2055 | train/epoch_291/ex iic icc
2056 | train/epoch_291/ex ac ca
2057 | train/epoch_291/ex eb eb
2058 | train/epoch_291/ex bbb bbb
2059 | train/epoch_291{1.67s}
2060 | train/epoch_292/loss 5.7293
2061 | Epoch   292: reducing learning rate of group 0 to 3.0518e-08.
2062 | train/epoch_292/ex bbbbi bbiii
2063 | train/epoch_292/ex ahhah haaha
2064 | train/epoch_292/ex aa aa
2065 | train/epoch_292/ex ii ii
2066 | train/epoch_292/ex jjjjjjj jjjjjjj
2067 | train/epoch_292{1.66s}
2068 | train/epoch_293/loss 6.1803
2069 | train/epoch_293/ex iiiiiij ibbbibb
2070 | train/epoch_293/ex jjjjj jjjjj
2071 | train/epoch_293/ex ggggd gdhgg
2072 | train/epoch_293/ex ggggg ggggg
2073 | train/epoch_293/ex iiiii eiiii
2074 | train/epoch_293{1.65s}
2075 | train/epoch_294/loss 6.4848
2076 | train/epoch_294/ex ccc hcc
2077 | train/epoch_294/ex aeeae ieaea
2078 | train/epoch_294/ex ggggjj jhhhjh
2079 | train/epoch_294/ex jjfjf jfjfj
2080 | train/epoch_294/ex ha ab
2081 | train/epoch_294{1.72s}
2082 | train/epoch_295/loss 5.9765
2083 | train/epoch_295/ex jjj iii
2084 | train/epoch_295/ex ggggg gdddd
2085 | train/epoch_295/ex hhh hhh
2086 | train/epoch_295/ex eee eee
2087 | train/epoch_295/ex eeeeeee eeeeeee
2088 | train/epoch_295{1.68s}
2089 | train/epoch_296/loss 6.0851
2090 | train/epoch_296/ex jjj jjj
2091 | train/epoch_296/ex ffe fef
2092 | train/epoch_296/ex cg ac
2093 | train/epoch_296/ex ajjaj aajaj
2094 | train/epoch_296/ex eejj deee
2095 | train/epoch_296{1.61s}
2096 | train/epoch_297/loss 5.8814
2097 | train/epoch_297/ex gigigi giggig
2098 | train/epoch_297/ex cc dc
2099 | train/epoch_297/ex d b
2100 | train/epoch_297/ex hhhhhhh hhhhhhh
2101 | train/epoch_297/ex cccccb bcbccc
2102 | train/epoch_297{1.70s}
2103 | train/epoch_298/loss 5.8316
2104 | train/epoch_298/ex jh jh
2105 | train/epoch_298/ex fffff fffff
2106 | train/epoch_298/ex aj jf
2107 | train/epoch_298/ex eb ec
2108 | train/epoch_298/ex hhhhhhhj hhjjhhhh
2109 | train/epoch_298{1.75s}
2110 | train/epoch_299/loss 6.0841
2111 | train/epoch_299/ex c c
2112 | train/epoch_299/ex cc cc
2113 | train/epoch_299/ex ee ee
2114 | train/epoch_299/ex fi ic
2115 | train/epoch_299/ex aaaa aaaa
2116 | train/epoch_299{1.68s}
2117 | train/epoch_300/loss 6.0746
2118 | train/epoch_300/ex ieie eaei
2119 | train/epoch_300/ex aajj aajj
2120 | train/epoch_300/ex jjjjjj jjhjjj
2121 | train/epoch_300/ex gjg jgj
2122 | train/epoch_300/ex gd gh
2123 | train/epoch_300{1.71s}
2124 | train/epoch_301/loss 6.4497
2125 | train/epoch_301/ex bbbdb gbbdd
2126 | train/epoch_301/ex gggj jjgg
2127 | train/epoch_301/ex bj jb
2128 | train/epoch_301/ex iijjjij jjiiiij
2129 | train/epoch_301/ex ffffe fffef
2130 | train/epoch_301{1.72s}
2131 | train/epoch_302/loss 5.9866
2132 | train/epoch_302/ex jjj jjj
2133 | train/epoch_302/ex ig ei
2134 | train/epoch_302/ex fff dff
2135 | train/epoch_302/ex jdjdj jjadj
2136 | train/epoch_302/ex hb fh
2137 | train/epoch_302{1.67s}
2138 | train/epoch_303/loss 6.1320
2139 | Epoch   303: reducing learning rate of group 0 to 1.5259e-08.
2140 | train/epoch_303/ex ifi jif
2141 | train/epoch_303/ex iii iii
2142 | train/epoch_303/ex ffff fffc
2143 | train/epoch_303/ex aa bb
2144 | train/epoch_303/ex ccccc ccccc
2145 | train/epoch_303{1.70s}
2146 | train/epoch_304/loss 6.0997
2147 | train/epoch_304/ex jjjjjj ijjjjb
2148 | train/epoch_304/ex ffff ffaf
2149 | train/epoch_304/ex hhhh hhhh
2150 | train/epoch_304/ex db di
2151 | train/epoch_304/ex ddd ddd
2152 | train/epoch_304{1.66s}
2153 | train/epoch_305/loss 6.4011
2154 | train/epoch_305/ex hddh hhdh
2155 | train/epoch_305/ex ggg agg
2156 | train/epoch_305/ex iiii iiii
2157 | train/epoch_305/ex i d
2158 | train/epoch_305/ex hhhhhhhhhh hhhhhhhhhh
2159 | train/epoch_305{1.67s}
2160 | train/epoch_306/loss 6.2998
2161 | train/epoch_306/ex iii iii
2162 | train/epoch_306/ex bbbbbb gbgbbb
2163 | train/epoch_306/ex gf dg
2164 | train/epoch_306/ex hffcffcfcfc chefcfchhhf
2165 | train/epoch_306/ex hhhhhhhhhh hhhhhhhhhh
2166 | train/epoch_306{1.62s}
2167 | train/epoch_307/loss 6.2166
2168 | train/epoch_307/ex d b
2169 | train/epoch_307/ex hhhhh hhhhh
2170 | train/epoch_307/ex bgg ggc
2171 | train/epoch_307/ex iii iii
2172 | train/epoch_307/ex bbh abb
2173 | train/epoch_307{1.65s}
2174 | train/epoch_308/loss 6.2850
2175 | train/epoch_308/ex ggggg ggggg
2176 | train/epoch_308/ex d i
2177 | train/epoch_308/ex aaaa afaa
2178 | train/epoch_308/ex jhj cjh
2179 | train/epoch_308/ex ici cic
2180 | train/epoch_308{1.68s}
2181 | train/epoch_309/loss 6.7888
2182 | train/epoch_309/ex jjjjj jjjjg
2183 | train/epoch_309/ex jjj jjb
2184 | train/epoch_309/ex ffffff afffff
2185 | train/epoch_309/ex aaaaaaa aacaaaa
2186 | train/epoch_309/ex cgcg ehcc
2187 | train/epoch_309{1.64s}
2188 | train/epoch_310/loss 6.4260
2189 | train/epoch_310/ex hhh hdd
2190 | train/epoch_310/ex ggggg iiiii
2191 | train/epoch_310/ex eeee eeee
2192 | train/epoch_310/ex aaaaaj jajjjj
2193 | train/epoch_310/ex cda acj
2194 | train/epoch_310{1.60s}
2195 | train/epoch_311/loss 6.2633
2196 | train/epoch_311/ex aaaaa aaaaa
2197 | train/epoch_311/ex jd ej
2198 | train/epoch_311/ex i f
2199 | train/epoch_311/ex di gd
2200 | train/epoch_311/ex ib ib
2201 | train/epoch_311{1.67s}
2202 | train/epoch_312/loss 6.2548
2203 | train/epoch_312/ex jjj jjj
2204 | train/epoch_312/ex ggg aaa
2205 | train/epoch_312/ex ieeie ieiii
2206 | train/epoch_312/ex ii hh
2207 | train/epoch_312/ex cgf cgc
2208 | train/epoch_312{1.68s}
2209 | train/epoch_313/loss 6.0804
2210 | train/epoch_313/ex aaaaa aaaaa
2211 | train/epoch_313/ex dg dc
2212 | train/epoch_313/ex jjjjjjj gggjggj
2213 | train/epoch_313/ex hhhhhh bhhhhh
2214 | train/epoch_313/ex jjjjjbb jbbjjjj
2215 | train/epoch_313{1.68s}
2216 | train/epoch_314/loss 6.0775
2217 | train/epoch_314/ex aaaagg gaagaa
2218 | train/epoch_314/ex dd dd
2219 | train/epoch_314/ex fgf cgg
2220 | train/epoch_314/ex iiiiiiiia baaaiaabb
2221 | train/epoch_314/ex cccccc cccdcc
2222 | train/epoch_314{1.69s}
2223 | train/epoch_315/loss 6.0600
2224 | train/epoch_315/ex iiiiiii iiiiiii
2225 | train/epoch_315/ex cc cc
2226 | train/epoch_315/ex d d
2227 | train/epoch_315/ex ccccc ccccc
2228 | train/epoch_315/ex cb bc
2229 | train/epoch_315{1.69s}
2230 | train/epoch_316/loss 6.1829
2231 | train/epoch_316/ex b h
2232 | train/epoch_316/ex ffff feee
2233 | train/epoch_316/ex ggg ggg
2234 | train/epoch_316/ex bbbbb jbbbb
2235 | train/epoch_316/ex ddeed ejdjj
2236 | train/epoch_316{1.63s}
2237 | train/epoch_317/loss 6.3273
2238 | train/epoch_317/ex hhhhh hhhhh
2239 | train/epoch_317/ex hhhh hhhh
2240 | train/epoch_317/ex aaj jaa
2241 | train/epoch_317/ex hhbbhbb hhhbhhb
2242 | train/epoch_317/ex bbbbbb bbbbgb
2243 | train/epoch_317{1.69s}
2244 | train/epoch_318/loss 6.1831
2245 | train/epoch_318/ex ddd ddd
2246 | train/epoch_318/ex bbbb bbbb
2247 | train/epoch_318/ex ggg ggg
2248 | train/epoch_318/ex ch dc
2249 | train/epoch_318/ex hghgh gghgh
2250 | train/epoch_318{1.65s}
2251 | train/epoch_319/loss 6.2866
2252 | train/epoch_319/ex jjjj jjjj
2253 | train/epoch_319/ex ccjjc cjjcj
2254 | train/epoch_319/ex iii iii
2255 | train/epoch_319/ex dddd bbbd
2256 | train/epoch_319/ex cccc ccce
2257 | train/epoch_319{1.65s}
2258 | train/epoch_320/loss 5.9370
2259 | train/epoch_320/ex bf bc
2260 | train/epoch_320/ex ggg ggf
2261 | train/epoch_320/ex c c
2262 | train/epoch_320/ex affa baaf
2263 | train/epoch_320/ex fh hc
2264 | train/epoch_320{1.60s}
2265 | train/epoch_321/loss 5.9383
2266 | train/epoch_321/ex db db
2267 | train/epoch_321/ex c c
2268 | train/epoch_321/ex hhhhh hhhhh
2269 | train/epoch_321/ex jjjj jjjj
2270 | train/epoch_321/ex iiiii iiiii
2271 | train/epoch_321{1.60s}
2272 | train/epoch_322/loss 5.8068
2273 | train/epoch_322/ex cccc cccc
2274 | train/epoch_322/ex ddff fffd
2275 | train/epoch_322/ex je eg
2276 | train/epoch_322/ex bjjb jbbj
2277 | train/epoch_322/ex aac caa
2278 | train/epoch_322{1.65s}
2279 | train/epoch_323/loss 5.7356
2280 | train/epoch_323/ex ggggg ggggg
2281 | train/epoch_323/ex hhhhh hhhhh
2282 | train/epoch_323/ex jjjjjjjjj jjfjjjjjj
2283 | train/epoch_323/ex ccggcg ggcggc
2284 | train/epoch_323/ex aja jae
2285 | train/epoch_323{1.74s}
2286 | train/epoch_324/loss 6.3608
2287 | train/epoch_324/ex ddd iii
2288 | train/epoch_324/ex ggggg ggggg
2289 | train/epoch_324/ex aaaaaa aaaaaa
2290 | train/epoch_324/ex ffjf jffj
2291 | train/epoch_324/ex jjhjh hhjjh
2292 | train/epoch_324{1.63s}
2293 | train/epoch_325/loss 6.1163
2294 | train/epoch_325/ex eed eed
2295 | train/epoch_325/ex gggg gggc
2296 | train/epoch_325/ex aaaa aaaa
2297 | train/epoch_325/ex g g
2298 | train/epoch_325/ex cccc cccc
2299 | train/epoch_325{1.60s}
2300 | train/epoch_326/loss 6.3196
2301 | train/epoch_326/ex i h
2302 | train/epoch_326/ex jjjjjjj jjjjjjj
2303 | train/epoch_326/ex bbbb bhbb
2304 | train/epoch_326/ex ggggg ggggg
2305 | train/epoch_326/ex ajjaj ajaja
2306 | train/epoch_326{1.69s}
2307 | train/epoch_327/loss 6.0687
2308 | train/epoch_327/ex i e
2309 | train/epoch_327/ex aaa aaa
2310 | train/epoch_327/ex aaaaa aaaaa
2311 | train/epoch_327/ex ggg ggg
2312 | train/epoch_327/ex fffffffffff ffcfffgffff
2313 | train/epoch_327{1.71s}
2314 | train/epoch_328/loss 6.1832
2315 | train/epoch_328/ex c h
2316 | train/epoch_328/ex d h
2317 | train/epoch_328/ex cgj acg
2318 | train/epoch_328/ex d b
2319 | train/epoch_328/ex gggb gcgg
2320 | train/epoch_328{1.66s}
2321 | train/epoch_329/loss 6.2093
2322 | train/epoch_329/ex jjjj fjjj
2323 | train/epoch_329/ex iii iic
2324 | train/epoch_329/ex aaaaa haaaa
2325 | train/epoch_329/ex aaaa aaaa
2326 | train/epoch_329/ex cccca cccaa
2327 | train/epoch_329{1.67s}
2328 | train/epoch_330/loss 5.9111
2329 | train/epoch_330/ex dc da
2330 | train/epoch_330/ex cddbb cbbbd
2331 | train/epoch_330/ex eeeee eeeee
2332 | train/epoch_330/ex d d
2333 | train/epoch_330/ex ei eb
2334 | train/epoch_330{1.68s}
2335 | train/epoch_331/loss 6.3757
2336 | train/epoch_331/ex gggg gggc
2337 | train/epoch_331/ex hhe aee
2338 | train/epoch_331/ex cccc cccc
2339 | train/epoch_331/ex ch ec
2340 | train/epoch_331/ex aj ja
2341 | train/epoch_331{1.70s}
2342 | train/epoch_332/loss 6.0378
2343 | train/epoch_332/ex hhh hhh
2344 | train/epoch_332/ex eee gee
2345 | train/epoch_332/ex ce hc
2346 | train/epoch_332/ex jjjj jjjg
2347 | train/epoch_332/ex ffffffff ffffffff
2348 | train/epoch_332{1.67s}
2349 | train/epoch_333/loss 5.9896
2350 | train/epoch_333/ex iii iid
2351 | train/epoch_333/ex j a
2352 | train/epoch_333/ex ddbbbdd bdddbbb
2353 | train/epoch_333/ex i i
2354 | train/epoch_333/ex fffd fffd
2355 | train/epoch_333{1.70s}
2356 | train/epoch_334/loss 6.1915
2357 | train/epoch_334/ex iiii iiii
2358 | train/epoch_334/ex didid iiidi
2359 | train/epoch_334/ex iiiiiii iiiiiii
2360 | train/epoch_334/ex c c
2361 | train/epoch_334/ex b b
2362 | train/epoch_334{1.63s}
2363 | train/epoch_335/loss 6.1718
2364 | train/epoch_335/ex eeeeei ieeeee
2365 | train/epoch_335/ex a i
2366 | train/epoch_335/ex bbb bbb
2367 | train/epoch_335/ex eeeei beiee
2368 | train/epoch_335/ex ff ff
2369 | train/epoch_335{1.70s}
2370 | train/epoch_336/loss 5.7570
2371 | train/epoch_336/ex fe fe
2372 | train/epoch_336/ex ch bh
2373 | train/epoch_336/ex c c
2374 | train/epoch_336/ex jjjjjj jjjjjj
2375 | train/epoch_336/ex iiiii iiiii
2376 | train/epoch_336{1.67s}
2377 | train/epoch_337/loss 5.8231
2378 | train/epoch_337/ex iii iii
2379 | train/epoch_337/ex ji ji
2380 | train/epoch_337/ex dddddddddj djjdjjjdjj
2381 | train/epoch_337/ex c d
2382 | train/epoch_337/ex cccc cccc
2383 | train/epoch_337{1.66s}
2384 | train/epoch_338/loss 6.2300
2385 | train/epoch_338/ex ab ad
2386 | train/epoch_338/ex b d
2387 | train/epoch_338/ex bbb bba
2388 | train/epoch_338/ex iiii iiii
2389 | train/epoch_338/ex ddd idd
2390 | train/epoch_338{1.67s}
2391 | train/epoch_339/loss 6.4937
2392 | train/epoch_339/ex ge hg
2393 | train/epoch_339/ex aaa aaa
2394 | train/epoch_339/ex iii iii
2395 | train/epoch_339/ex ja ja
2396 | train/epoch_339/ex dde eed
2397 | train/epoch_339{1.66s}
2398 | train/epoch_340/loss 6.3367
2399 | train/epoch_340/ex iiiig igiii
2400 | train/epoch_340/ex cd cd
2401 | train/epoch_340/ex cccc cccc
2402 | train/epoch_340/ex iiii iiic
2403 | train/epoch_340/ex cac ccg
2404 | train/epoch_340{1.71s}
2405 | train/epoch_341/loss 6.2187
2406 | train/epoch_341/ex ddj bdd
2407 | train/epoch_341/ex e h
2408 | train/epoch_341/ex h g
2409 | train/epoch_341/ex eeej eeej
2410 | train/epoch_341/ex fffffb bfbffb
2411 | train/epoch_341{1.71s}
2412 | train/epoch_342/loss 6.1466
2413 | train/epoch_342/ex bbb ebb
2414 | train/epoch_342/ex b a
2415 | train/epoch_342/ex ccg ccj
2416 | train/epoch_342/ex bbb bbb
2417 | train/epoch_342/ex fifi fdid
2418 | train/epoch_342{1.69s}
2419 | train/epoch_343/loss 6.1674
2420 | train/epoch_343/ex ccccc cchcc
2421 | train/epoch_343/ex eee eef
2422 | train/epoch_343/ex d c
2423 | train/epoch_343/ex cb cb
2424 | train/epoch_343/ex gjjg jjgj
2425 | train/epoch_343{1.72s}
2426 | train/epoch_344/loss 5.9071
2427 | train/epoch_344/ex hhha aaah
2428 | train/epoch_344/ex ggg igf
2429 | train/epoch_344/ex ig ia
2430 | train/epoch_344/ex j j
2431 | train/epoch_344/ex aa ja
2432 | train/epoch_344{1.62s}
2433 | train/epoch_345/loss 6.3706
2434 | train/epoch_345/ex iii fii
2435 | train/epoch_345/ex jjjjjjg gggjggj
2436 | train/epoch_345/ex bc bj
2437 | train/epoch_345/ex dgd dgd
2438 | train/epoch_345/ex ccc cgg
2439 | train/epoch_345{1.71s}
2440 | train/epoch_346/loss 6.1455
2441 | train/epoch_346/ex i f
2442 | train/epoch_346/ex dddd dddd
2443 | train/epoch_346/ex d g
2444 | train/epoch_346/ex b i
2445 | train/epoch_346/ex dde eed
2446 | train/epoch_346{1.72s}
2447 | train/epoch_347/loss 6.3149
2448 | train/epoch_347/ex cdcdddc ddddccd
2449 | train/epoch_347/ex d d
2450 | train/epoch_347/ex hhi iid
2451 | train/epoch_347/ex i b
2452 | train/epoch_347/ex ddhdh ddcjh
2453 | train/epoch_347{1.70s}
2454 | train/epoch_348/loss 6.0296
2455 | train/epoch_348/ex ggggg ggggg
2456 | train/epoch_348/ex bb bb
2457 | train/epoch_348/ex aaaaa aaaaa
2458 | train/epoch_348/ex hjhj hhjh
2459 | train/epoch_348/ex hhhhh hhhhh
2460 | train/epoch_348{1.70s}
2461 | train/epoch_349/loss 6.9180
2462 | train/epoch_349/ex b b
2463 | train/epoch_349/ex iddidid dididdi
2464 | train/epoch_349/ex fff fff
2465 | train/epoch_349/ex eeeeee eeeeec
2466 | train/epoch_349/ex gdgdgg gdddgd
2467 | train/epoch_349{1.70s}
2468 | train/epoch_350/loss 6.2653
2469 | train/epoch_350/ex cdcd dcdc
2470 | train/epoch_350/ex ff ii
2471 | train/epoch_350/ex ii ii
2472 | train/epoch_350/ex bbbbbf bbbbfb
2473 | train/epoch_350/ex hhhf ffhh
2474 | train/epoch_350{1.60s}
2475 | train/epoch_351/loss 5.7307
2476 | train/epoch_351/ex fjjf jffj
2477 | train/epoch_351/ex iiiiiiiiii iiiiiiiiii
2478 | train/epoch_351/ex ggggg ggggg
2479 | train/epoch_351/ex b b
2480 | train/epoch_351/ex bbb bbb
2481 | train/epoch_351{1.67s}
2482 | train/epoch_352/loss 6.3049
2483 | train/epoch_352/ex i i
2484 | train/epoch_352/ex jj jj
2485 | train/epoch_352/ex dddd dddd
2486 | train/epoch_352/ex e e
2487 | train/epoch_352/ex dd dd
2488 | train/epoch_352{1.77s}
2489 | train/epoch_353/loss 6.0001
2490 | train/epoch_353/ex fffff fffff
2491 | train/epoch_353/ex iii iig
2492 | train/epoch_353/ex hhh hhh
2493 | train/epoch_353/ex chch hchc
2494 | train/epoch_353/ex aaaa aaia
2495 | train/epoch_353{1.75s}
2496 | train/epoch_354/loss 5.6768
2497 | train/epoch_354/ex ccc ccc
2498 | train/epoch_354/ex b h
2499 | train/epoch_354/ex dddd dddd
2500 | train/epoch_354/ex aaaaaaaaa aaaaaaaaa
2501 | train/epoch_354/ex bbggggg biiibgg
2502 | train/epoch_354{1.72s}
2503 | train/epoch_355/loss 5.8546
2504 | train/epoch_355/ex babab baabb
2505 | train/epoch_355/ex i b
2506 | train/epoch_355/ex bbhh hhhb
2507 | train/epoch_355/ex eeeee eieee
2508 | train/epoch_355/ex i g
2509 | train/epoch_355{1.67s}
2510 | train/epoch_356/loss 6.3981
2511 | train/epoch_356/ex eee aee
2512 | train/epoch_356/ex ei bi
2513 | train/epoch_356/ex igg ibg
2514 | train/epoch_356/ex j j
2515 | train/epoch_356/ex ddd ddb
2516 | train/epoch_356{1.68s}
2517 | train/epoch_357/loss 6.2083
2518 | train/epoch_357/ex jjjjjj djjgjj
2519 | train/epoch_357/ex bb eb
2520 | train/epoch_357/ex fff fff
2521 | train/epoch_357/ex cccb cbcc
2522 | train/epoch_357/ex gg cc
2523 | train/epoch_357{1.62s}
2524 | train/epoch_358/loss 6.4533
2525 | train/epoch_358/ex bbf ffi
2526 | train/epoch_358/ex aaaaaaa aaaaaaa
2527 | train/epoch_358/ex jjjg jjgj
2528 | train/epoch_358/ex hj ij
2529 | train/epoch_358/ex aaa aaa
2530 | train/epoch_358{1.64s}
2531 | train/epoch_359/loss 6.2084
2532 | train/epoch_359/ex hhhhh hhhhh
2533 | train/epoch_359/ex i d
2534 | train/epoch_359/ex ji jg
2535 | train/epoch_359/ex fb fe
2536 | train/epoch_359/ex bbb bbb
2537 | train/epoch_359{1.63s}
2538 | train/epoch_360/loss 6.5868
2539 | train/epoch_360/ex aj gj
2540 | train/epoch_360/ex hhaa fhha
2541 | train/epoch_360/ex b d
2542 | train/epoch_360/ex ddd ddd
2543 | train/epoch_360/ex hb jh
2544 | train/epoch_360{1.74s}
2545 | train/epoch_361/loss 6.3684
2546 | train/epoch_361/ex bbbb bbbc
2547 | train/epoch_361/ex hh hf
2548 | train/epoch_361/ex bh hc
2549 | train/epoch_361/ex ffffffffff ffffffffff
2550 | train/epoch_361/ex ffee fffd
2551 | train/epoch_361{1.66s}
2552 | train/epoch_362/loss 6.2143
2553 | train/epoch_362/ex bbbbbb fbbbbb
2554 | train/epoch_362/ex iff iif
2555 | train/epoch_362/ex aaaaaa haahaa
2556 | train/epoch_362/ex eeee eeee
2557 | train/epoch_362/ex hhhhh hhhhh
2558 | train/epoch_362{1.67s}
2559 | train/epoch_363/loss 5.7841
2560 | train/epoch_363/ex ee he
2561 | train/epoch_363/ex jijiji ijjjfi
2562 | train/epoch_363/ex hhh hhh
2563 | train/epoch_363/ex ecjc eeje
2564 | train/epoch_363/ex hhh hhh
2565 | train/epoch_363{1.75s}
2566 | train/epoch_364/loss 6.2260
2567 | train/epoch_364/ex hh ff
2568 | train/epoch_364/ex dc cd
2569 | train/epoch_364/ex hhhhh ddddd
2570 | train/epoch_364/ex aaaaaa aaaaae
2571 | train/epoch_364/ex ggg ggj
2572 | train/epoch_364{1.62s}
2573 | train/epoch_365/loss 6.4527
2574 | train/epoch_365/ex dddd bddd
2575 | train/epoch_365/ex iiii iiii
2576 | train/epoch_365/ex i f
2577 | train/epoch_365/ex j j
2578 | train/epoch_365/ex iiiiiiia fiiiifcc
2579 | train/epoch_365{1.67s}
2580 | train/epoch_366/loss 5.9261
2581 | train/epoch_366/ex bbbbb bbbbb
2582 | train/epoch_366/ex iji hhj
2583 | train/epoch_366/ex gg ii
2584 | train/epoch_366/ex eeee geee
2585 | train/epoch_366/ex bjb bgj
2586 | train/epoch_366{1.67s}
2587 | train/epoch_367/loss 6.0866
2588 | train/epoch_367/ex d d
2589 | train/epoch_367/ex jj bb
2590 | train/epoch_367/ex aaa aaa
2591 | train/epoch_367/ex d h
2592 | train/epoch_367/ex ddg ggd
2593 | train/epoch_367{1.66s}
2594 | train/epoch_368/loss 5.8218
2595 | train/epoch_368/ex cc cc
2596 | train/epoch_368/ex j j
2597 | train/epoch_368/ex h g
2598 | train/epoch_368/ex ffbbb fffbf
2599 | train/epoch_368/ex ge be
2600 | train/epoch_368{1.73s}
2601 | train/epoch_369/loss 6.4046
2602 | train/epoch_369/ex eege eege
2603 | train/epoch_369/ex d b
2604 | train/epoch_369/ex iiiiiii iiiiiia
2605 | train/epoch_369/ex jj jj
2606 | train/epoch_369/ex fa fa
2607 | train/epoch_369{1.72s}
2608 | train/epoch_370/loss 5.9136
2609 | train/epoch_370/ex hhh hhh
2610 | train/epoch_370/ex e e
2611 | train/epoch_370/ex c j
2612 | train/epoch_370/ex jdjdj jjddc
2613 | train/epoch_370/ex i d
2614 | train/epoch_370{1.62s}
2615 | train/epoch_371/loss 6.2363
2616 | train/epoch_371/ex jjd jaj
2617 | train/epoch_371/ex hggh hghh
2618 | train/epoch_371/ex ahah ehef
2619 | train/epoch_371/ex cccch gccch
2620 | train/epoch_371/ex eej ebe
2621 | train/epoch_371{1.59s}
2622 | train/epoch_372/loss 6.3825
2623 | train/epoch_372/ex eea eae
2624 | train/epoch_372/ex ddddd ddddd
2625 | train/epoch_372/ex c d
2626 | train/epoch_372/ex afaaf aaafa
2627 | train/epoch_372/ex fe fd
2628 | train/epoch_372{1.66s}
2629 | train/epoch_373/loss 6.0288
2630 | train/epoch_373/ex ddddddd ddddddd
2631 | train/epoch_373/ex ddddd ddddd
2632 | train/epoch_373/ex j e
2633 | train/epoch_373/ex iiiii iiiii
2634 | train/epoch_373/ex ececeh hchhee
2635 | train/epoch_373{1.74s}
2636 | train/epoch_374/loss 5.7189
2637 | train/epoch_374/ex fff fff
2638 | train/epoch_374/ex e e
2639 | train/epoch_374/ex hhii hihh
2640 | train/epoch_374/ex fa ag
2641 | train/epoch_374/ex eeje aehj
2642 | train/epoch_374{1.68s}
2643 | train/epoch_375/loss 6.1286
2644 | train/epoch_375/ex dg ed
2645 | train/epoch_375/ex fj jf
2646 | train/epoch_375/ex fffff fffff
2647 | train/epoch_375/ex bc cb
2648 | train/epoch_375/ex gdgdg dgdgd
2649 | train/epoch_375{1.61s}
2650 | train/epoch_376/loss 5.9586
2651 | train/epoch_376/ex gjgjjgj ajaaaaj
2652 | train/epoch_376/ex bbbbbbb bbccccc
2653 | train/epoch_376/ex i g
2654 | train/epoch_376/ex db db
2655 | train/epoch_376/ex iiig iiig
2656 | train/epoch_376{1.72s}
2657 | train/epoch_377/loss 6.3735
2658 | train/epoch_377/ex gg gg
2659 | train/epoch_377/ex fifi ffif
2660 | train/epoch_377/ex iiic icii
2661 | train/epoch_377/ex iijjij iiijii
2662 | train/epoch_377/ex jjjj jjjj
2663 | train/epoch_377{1.72s}
2664 | train/epoch_378/loss 6.2734
2665 | train/epoch_378/ex ccc ggg
2666 | train/epoch_378/ex cccc cccc
2667 | train/epoch_378/ex ccccc ccccc
2668 | train/epoch_378/ex ggg ggg
2669 | train/epoch_378/ex j e
2670 | train/epoch_378{1.67s}
2671 | train/epoch_379/loss 6.3686
2672 | train/epoch_379/ex g c
2673 | train/epoch_379/ex d a
2674 | train/epoch_379/ex hhh ghh
2675 | train/epoch_379/ex jjjj jjjj
2676 | train/epoch_379/ex ggg ddd
2677 | train/epoch_379{1.68s}
2678 | train/epoch_380/loss 6.1349
2679 | train/epoch_380/ex c j
2680 | train/epoch_380/ex i a
2681 | train/epoch_380/ex hjj hjj
2682 | train/epoch_380/ex ca ca
2683 | train/epoch_380/ex jjjjjjj jjjjjjj
2684 | train/epoch_380{1.69s}
2685 | train/epoch_381/loss 6.3028
2686 | train/epoch_381/ex jjjj jjjj
2687 | train/epoch_381/ex bbbb jbbb
2688 | train/epoch_381/ex hhhhh hhhhh
2689 | train/epoch_381/ex jjdd jdff
2690 | train/epoch_381/ex ddbbd dbbdd
2691 | train/epoch_381{1.66s}
2692 | train/epoch_382/loss 5.8893
2693 | train/epoch_382/ex ddddb ddfdd
2694 | train/epoch_382/ex c d
2695 | train/epoch_382/ex fjb hfj
2696 | train/epoch_382/ex e j
2697 | train/epoch_382/ex e b
2698 | train/epoch_382{1.68s}
2699 | train/epoch_383/loss 6.1314
2700 | train/epoch_383/ex hhh hhh
2701 | train/epoch_383/ex hh hh
2702 | train/epoch_383/ex fffff iffff
2703 | train/epoch_383/ex aaa aaa
2704 | train/epoch_383/ex eei eeg
2705 | train/epoch_383{1.68s}
2706 | train/epoch_384/loss 5.6820
2707 | train/epoch_384/ex i b
2708 | train/epoch_384/ex e j
2709 | train/epoch_384/ex jjj aaa
2710 | train/epoch_384/ex gd jf
2711 | train/epoch_384/ex bj fb
2712 | train/epoch_384{1.72s}
2713 | train/epoch_385/loss 6.1967
2714 | train/epoch_385/ex d f
2715 | train/epoch_385/ex bbg gaa
2716 | train/epoch_385/ex gggg gggg
2717 | train/epoch_385/ex ghghgh gghhgh
2718 | train/epoch_385/ex c c
2719 | train/epoch_385{1.64s}
2720 | train/epoch_386/loss 5.9736
2721 | train/epoch_386/ex iiiii iiiii
2722 | train/epoch_386/ex jjjjjjj jjjjjjj
2723 | train/epoch_386/ex jj jj
2724 | train/epoch_386/ex aa aa
2725 | train/epoch_386/ex cdcd fccd
2726 | train/epoch_386{1.68s}
2727 | train/epoch_387/loss 5.7759
2728 | train/epoch_387/ex ccc cci
2729 | train/epoch_387/ex bci eca
2730 | train/epoch_387/ex hhh ghh
2731 | train/epoch_387/ex j j
2732 | train/epoch_387/ex j a
2733 | train/epoch_387{1.66s}
2734 | train/epoch_388/loss 6.4127
2735 | train/epoch_388/ex aab aac
2736 | train/epoch_388/ex bba hff
2737 | train/epoch_388/ex iibiiiii iibiibii
2738 | train/epoch_388/ex hhhhh hhhhh
2739 | train/epoch_388/ex eee eej
2740 | train/epoch_388{1.67s}
2741 | train/epoch_389/loss 6.2089
2742 | train/epoch_389/ex i d
2743 | train/epoch_389/ex bbbbbgggg agggbabbb
2744 | train/epoch_389/ex ccc gcc
2745 | train/epoch_389/ex da da
2746 | train/epoch_389/ex bgbgbg fbbbgb
2747 | train/epoch_389{1.72s}
2748 | train/epoch_390/loss 5.9688
2749 | train/epoch_390/ex dd dd
2750 | train/epoch_390/ex aaaaaaaaaaa iiaaaiaiaia
2751 | train/epoch_390/ex ababa aabaa
2752 | train/epoch_390/ex aaaaaa aaaaff
2753 | train/epoch_390/ex d a
2754 | train/epoch_390{1.72s}
2755 | train/epoch_391/loss 5.9084
2756 | train/epoch_391/ex aaaaj jjjaa
2757 | train/epoch_391/ex jjjjj jjbjj
2758 | train/epoch_391/ex iij iji
2759 | train/epoch_391/ex hjih hhih
2760 | train/epoch_391/ex gg gg
2761 | train/epoch_391{1.69s}
2762 | train/epoch_392/loss 5.7375
2763 | train/epoch_392/ex ccc ccc
2764 | train/epoch_392/ex c g
2765 | train/epoch_392/ex hjhj hijh
2766 | train/epoch_392/ex aaaa aaah
2767 | train/epoch_392/ex aaa aaa
2768 | train/epoch_392{1.65s}
2769 | train/epoch_393/loss 6.4508
2770 | train/epoch_393/ex dde bdb
2771 | train/epoch_393/ex egege geege
2772 | train/epoch_393/ex eee eee
2773 | train/epoch_393/ex eeee eeee
2774 | train/epoch_393/ex ddddd ddidf
2775 | train/epoch_393{1.67s}
2776 | train/epoch_394/loss 6.1535
2777 | train/epoch_394/ex ccccccc ccccccc
2778 | train/epoch_394/ex ddj did
2779 | train/epoch_394/ex eee eee
2780 | train/epoch_394/ex igig ejii
2781 | train/epoch_394/ex jjhhhj hhjhhj
2782 | train/epoch_394{1.72s}
2783 | train/epoch_395/loss 6.4586
2784 | train/epoch_395/ex aaaa aaah
2785 | train/epoch_395/ex jjjjjbb bbgjjjb
2786 | train/epoch_395/ex gggg gggg
2787 | train/epoch_395/ex ffbbbb ffbfff
2788 | train/epoch_395/ex j c
2789 | train/epoch_395{1.68s}
2790 | train/epoch_396/loss 5.9828
2791 | train/epoch_396/ex d i
2792 | train/epoch_396/ex bbb bbb
2793 | train/epoch_396/ex eg ae
2794 | train/epoch_396/ex d g
2795 | train/epoch_396/ex b h
2796 | train/epoch_396{1.68s}
2797 | train/epoch_397/loss 6.5899
2798 | train/epoch_397/ex hhh hhh
2799 | train/epoch_397/ex ji hi
2800 | train/epoch_397/ex jjfjf ijiji
2801 | train/epoch_397/ex bg hg
2802 | train/epoch_397/ex fff fff
2803 | train/epoch_397{1.68s}
2804 | train/epoch_398/loss 6.1268
2805 | train/epoch_398/ex bbbh bbhb
2806 | train/epoch_398/ex dddd dddd
2807 | train/epoch_398/ex bbbd dbdb
2808 | train/epoch_398/ex cccc cccc
2809 | train/epoch_398/ex iii iii
2810 | train/epoch_398{1.65s}
2811 | train/epoch_399/loss 5.7406
2812 | train/epoch_399/ex ff gg
2813 | train/epoch_399/ex gbc eeg
2814 | train/epoch_399/ex cc cc
2815 | train/epoch_399/ex bbbbb hbbbb
2816 | train/epoch_399/ex jej jij
2817 | train/epoch_399{1.65s}
2818 | train/epoch_400/loss 6.2328
2819 | train/epoch_400/ex iiiiii iiiiii
2820 | train/epoch_400/ex aaa gaa
2821 | train/epoch_400/ex j j
2822 | train/epoch_400/ex gjjg gehh
2823 | train/epoch_400/ex eeeee geeee
2824 | train/epoch_400{1.70s}
2825 | train/epoch_401/loss 6.0554
2826 | train/epoch_401/ex eeeeeeee aeeeeeee
2827 | train/epoch_401/ex iiii iiii
2828 | train/epoch_401/ex eeeee eeeee
2829 | train/epoch_401/ex c b
2830 | train/epoch_401/ex fa ed
2831 | train/epoch_401{1.62s}
2832 | train/epoch_402/loss 6.2234
2833 | train/epoch_402/ex aaj jaa
2834 | train/epoch_402/ex he ah
2835 | train/epoch_402/ex bddbf bdbbd
2836 | train/epoch_402/ex eeeeeee eeeeeee
2837 | train/epoch_402/ex gg cc
2838 | train/epoch_402{1.65s}
2839 | train/epoch_403/loss 6.1876
2840 | train/epoch_403/ex idid iidi
2841 | train/epoch_403/ex fc cd
2842 | train/epoch_403/ex hee fee
2843 | train/epoch_403/ex jjjjj jjjjb
2844 | train/epoch_403/ex bbbj cjcc
2845 | train/epoch_403{1.66s}
2846 | train/epoch_404/loss 6.3013
2847 | train/epoch_404/ex cccd ccjj
2848 | train/epoch_404/ex ggg fff
2849 | train/epoch_404/ex bjjb bjbj
2850 | train/epoch_404/ex aaaaaaa aaaaaaa
2851 | train/epoch_404/ex cjcjc gjdcj
2852 | train/epoch_404{1.65s}
2853 | train/epoch_405/loss 6.0273
2854 | train/epoch_405/ex c d
2855 | train/epoch_405/ex j j
2856 | train/epoch_405/ex aaa aaa
2857 | train/epoch_405/ex ddddb dbddb
2858 | train/epoch_405/ex ahah haah
2859 | train/epoch_405{1.66s}
2860 | train/epoch_406/loss 6.3622
2861 | train/epoch_406/ex e c
2862 | train/epoch_406/ex bbbbb bbbbe
2863 | train/epoch_406/ex ggggggggg ggggggggg
2864 | train/epoch_406/ex adaaab baddba
2865 | train/epoch_406/ex hhjj hjjh
2866 | train/epoch_406{1.65s}
2867 | train/epoch_407/loss 6.1803
2868 | train/epoch_407/ex ffff ffff
2869 | train/epoch_407/ex gggg fggg
2870 | train/epoch_407/ex ddd ddd
2871 | train/epoch_407/ex dffd fdff
2872 | train/epoch_407/ex cc cb
2873 | train/epoch_407{1.71s}
2874 | train/epoch_408/loss 6.0481
2875 | train/epoch_408/ex ffff ffff
2876 | train/epoch_408/ex jhj jhj
2877 | train/epoch_408/ex deedde edjdjj
2878 | train/epoch_408/ex gdgada ddgagd
2879 | train/epoch_408/ex eej eej
2880 | train/epoch_408{1.63s}
2881 | train/epoch_409/loss 6.1948
2882 | train/epoch_409/ex ea eb
2883 | train/epoch_409/ex fff fff
2884 | train/epoch_409/ex hhh hhj
2885 | train/epoch_409/ex aaf faa
2886 | train/epoch_409/ex ii ii
2887 | train/epoch_409{1.66s}
2888 | train/epoch_410/loss 6.0313
2889 | train/epoch_410/ex dd dd
2890 | train/epoch_410/ex j e
2891 | train/epoch_410/ex aaaaa daaaa
2892 | train/epoch_410/ex aaa gaa
2893 | train/epoch_410/ex ee eh
2894 | train/epoch_410{1.68s}
2895 | train/epoch_411/loss 6.1728
2896 | train/epoch_411/ex b d
2897 | train/epoch_411/ex aaa aaj
2898 | train/epoch_411/ex jjjj ajjj
2899 | train/epoch_411/ex iii iii
2900 | train/epoch_411/ex aaaa aaah
2901 | train/epoch_411{1.71s}
2902 | train/epoch_412/loss 5.8488
2903 | train/epoch_412/ex jjj jjj
2904 | train/epoch_412/ex d c
2905 | train/epoch_412/ex ddd ddd
2906 | train/epoch_412/ex eee eea
2907 | train/epoch_412/ex ffffff ffffff
2908 | train/epoch_412{1.58s}
2909 | train/epoch_413/loss 6.4548
2910 | train/epoch_413/ex j c
2911 | train/epoch_413/ex cjj jcc
2912 | train/epoch_413/ex ggggg ggggg
2913 | train/epoch_413/ex iiiih hihii
2914 | train/epoch_413/ex d d
2915 | train/epoch_413{1.65s}
2916 | train/epoch_414/loss 5.9420
2917 | train/epoch_414/ex iiii iiii
2918 | train/epoch_414/ex cjcj jcjc
2919 | train/epoch_414/ex ccccc cccgc
2920 | train/epoch_414/ex iiii iiih
2921 | train/epoch_414/ex c d
2922 | train/epoch_414{1.71s}
2923 | train/epoch_415/loss 6.2099
2924 | train/epoch_415/ex ddddddd ddddddd
2925 | train/epoch_415/ex hhhjjjh hjhjjjh
2926 | train/epoch_415/ex ee aa
2927 | train/epoch_415/ex efeefe efeffe
2928 | train/epoch_415/ex b b
2929 | train/epoch_415{1.66s}
2930 | train/epoch_416/loss 6.3344
2931 | train/epoch_416/ex jjjj bjjj
2932 | train/epoch_416/ex bb bb
2933 | train/epoch_416/ex d i
2934 | train/epoch_416/ex i i
2935 | train/epoch_416/ex b f
2936 | train/epoch_416{1.73s}
2937 | train/epoch_417/loss 6.5784
2938 | train/epoch_417/ex hch chg
2939 | train/epoch_417/ex ccccc ccccc
2940 | train/epoch_417/ex da ja
2941 | train/epoch_417/ex ededed ddeded
2942 | train/epoch_417/ex ggggg ggggg
2943 | train/epoch_417{1.73s}
2944 | train/epoch_418/loss 6.2283
2945 | train/epoch_418/ex iiiii iiiii
2946 | train/epoch_418/ex i e
2947 | train/epoch_418/ex j a
2948 | train/epoch_418/ex ccc ccc
2949 | train/epoch_418/ex ccch dhhh
2950 | train/epoch_418{1.67s}
2951 | train/epoch_419/loss 5.8940
2952 | train/epoch_419/ex cd dh
2953 | train/epoch_419/ex h d
2954 | train/epoch_419/ex aaa eee
2955 | train/epoch_419/ex cdcdcddc dgdcgdcd
2956 | train/epoch_419/ex bc gb
2957 | train/epoch_419{1.67s}
2958 | train/epoch_420/loss 6.0457
2959 | train/epoch_420/ex aaaa haaa
2960 | train/epoch_420/ex cffcfcc fccccfc
2961 | train/epoch_420/ex bbhhbbbh bbbbhhbh
2962 | train/epoch_420/ex aaaa aaaa
2963 | train/epoch_420/ex hhhhh hhhhh
2964 | train/epoch_420{1.73s}
2965 | train/epoch_421/loss 6.1142
2966 | train/epoch_421/ex chccccccccch chchhhchhhhh
2967 | train/epoch_421/ex jjjj jjjj
2968 | train/epoch_421/ex cc ic
2969 | train/epoch_421/ex ii cc
2970 | train/epoch_421/ex chc cih
2971 | train/epoch_421{1.74s}
2972 | train/epoch_422/loss 6.4450
2973 | train/epoch_422/ex ic cj
2974 | train/epoch_422/ex jfjjf ddjff
2975 | train/epoch_422/ex aaaa aaaa
2976 | train/epoch_422/ex gggg gggg
2977 | train/epoch_422/ex dadad ajdjd
2978 | train/epoch_422{1.65s}
2979 | train/epoch_423/loss 5.9950
2980 | train/epoch_423/ex hhhh ahhe
2981 | train/epoch_423/ex bg gb
2982 | train/epoch_423/ex ddddd ddddd
2983 | train/epoch_423/ex ii ii
2984 | train/epoch_423/ex bbbb bbbb
2985 | train/epoch_423{1.70s}
2986 | train/epoch_424/loss 6.0490
2987 | train/epoch_424/ex ig ih
2988 | train/epoch_424/ex i i
2989 | train/epoch_424/ex iih iih
2990 | train/epoch_424/ex ddddddd dgdgdgg
2991 | train/epoch_424/ex fj jf
2992 | train/epoch_424{1.64s}
2993 | train/epoch_425/loss 5.8621
2994 | train/epoch_425/ex j a
2995 | train/epoch_425/ex cdc dcd
2996 | train/epoch_425/ex eeje efgj
2997 | train/epoch_425/ex aaaaaf ffaffa
2998 | train/epoch_425/ex iiii gggb
2999 | train/epoch_425{1.71s}
3000 | train/epoch_426/loss 6.2427
3001 | train/epoch_426/ex e e
3002 | train/epoch_426/ex cc gg
3003 | train/epoch_426/ex ejg geg
3004 | train/epoch_426/ex jjij iffh
3005 | train/epoch_426/ex iih hhf
3006 | train/epoch_426{1.64s}
3007 | train/epoch_427/loss 6.4234
3008 | train/epoch_427/ex b a
3009 | train/epoch_427/ex ggg egg
3010 | train/epoch_427/ex fffff fcfff
3011 | train/epoch_427/ex iiiii iiiii
3012 | train/epoch_427/ex hfh cfh
3013 | train/epoch_427{1.61s}
3014 | train/epoch_428/loss 6.0105
3015 | train/epoch_428/ex b a
3016 | train/epoch_428/ex i i
3017 | train/epoch_428/ex fe ei
3018 | train/epoch_428/ex dddddddddd dddddddddd
3019 | train/epoch_428/ex b b
3020 | train/epoch_428{1.62s}
3021 | train/epoch_429/loss 5.9524
3022 | train/epoch_429/ex hhhhh hhhhh
3023 | train/epoch_429/ex ccccc ccccc
3024 | train/epoch_429/ex hhhhh bbbbb
3025 | train/epoch_429/ex d d
3026 | train/epoch_429/ex ggg ggb
3027 | train/epoch_429{1.70s}
3028 | train/epoch_430/loss 6.5278
3029 | train/epoch_430/ex i h
3030 | train/epoch_430/ex aaa iaa
3031 | train/epoch_430/ex aaj jaa
3032 | train/epoch_430/ex fffi iffd
3033 | train/epoch_430/ex bbbbb bbbeb
3034 | train/epoch_430{1.65s}
3035 | train/epoch_431/loss 6.4249
3036 | train/epoch_431/ex ggg ghh
3037 | train/epoch_431/ex je jh
3038 | train/epoch_431/ex iii jjj
3039 | train/epoch_431/ex fd fd
3040 | train/epoch_431/ex ffff faff
3041 | train/epoch_431{1.69s}
3042 | train/epoch_432/loss 6.0528
3043 | train/epoch_432/ex dd dd
3044 | train/epoch_432/ex cdd ccd
3045 | train/epoch_432/ex gig aig
3046 | train/epoch_432/ex ddd ddd
3047 | train/epoch_432/ex ebeb jbbe
3048 | train/epoch_432{1.67s}
3049 | train/epoch_433/loss 6.2883
3050 | train/epoch_433/ex fffff hhhhh
3051 | train/epoch_433/ex fff fff
3052 | train/epoch_433/ex hihihi hihhih
3053 | train/epoch_433/ex g h
3054 | train/epoch_433/ex jjhj cjjc
3055 | train/epoch_433{1.61s}
3056 | train/epoch_434/loss 6.0974
3057 | train/epoch_434/ex gggj hhgh
3058 | train/epoch_434/ex ib ic
3059 | train/epoch_434/ex fff dff
3060 | train/epoch_434/ex bgb bgc
3061 | train/epoch_434/ex hhh hhh
3062 | train/epoch_434{1.73s}
3063 | train/epoch_435/loss 5.4621
3064 | train/epoch_435/ex eee eee
3065 | train/epoch_435/ex fj gj
3066 | train/epoch_435/ex e j
3067 | train/epoch_435/ex aaa aab
3068 | train/epoch_435/ex jjjj jjjj
3069 | train/epoch_435{1.65s}
3070 | train/epoch_436/loss 5.6770
3071 | train/epoch_436/ex c c
3072 | train/epoch_436/ex ee aa
3073 | train/epoch_436/ex aaag aaga
3074 | train/epoch_436/ex hhhh bhhh
3075 | train/epoch_436/ex iii hii
3076 | train/epoch_436{1.74s}
3077 | train/epoch_437/loss 6.2312
3078 | train/epoch_437/ex eec eec
3079 | train/epoch_437/ex ddd ddd
3080 | train/epoch_437/ex gh gj
3081 | train/epoch_437/ex aaaaa aaaaa
3082 | train/epoch_437/ex jjij fjji
3083 | train/epoch_437{1.65s}
3084 | train/epoch_438/loss 6.1330
3085 | train/epoch_438/ex ggg ggh
3086 | train/epoch_438/ex c c
3087 | train/epoch_438/ex jjd jgj
3088 | train/epoch_438/ex jj jj
3089 | train/epoch_438/ex eeceec cbceec
3090 | train/epoch_438{1.67s}
3091 | train/epoch_439/loss 6.4038
3092 | train/epoch_439/ex jj aj
3093 | train/epoch_439/ex ccccc ccccc
3094 | train/epoch_439/ex be ib
3095 | train/epoch_439/ex egea eefa
3096 | train/epoch_439/ex aaaaa aaaaa
3097 | train/epoch_439{1.65s}
3098 | train/epoch_440/loss 5.8897
3099 | train/epoch_440/ex gggggg gggggg
3100 | train/epoch_440/ex hhhjjj jjhjhh
3101 | train/epoch_440/ex c c
3102 | train/epoch_440/ex cd bf
3103 | train/epoch_440/ex ea de
3104 | train/epoch_440{1.72s}
3105 | train/epoch_441/loss 5.9677
3106 | train/epoch_441/ex ggg ggd
3107 | train/epoch_441/ex bbbbbb bbfbbb
3108 | train/epoch_441/ex aaaaaa aaaaaa
3109 | train/epoch_441/ex c b
3110 | train/epoch_441/ex gg ii
3111 | train/epoch_441{1.59s}
3112 | train/epoch_442/loss 5.5883
3113 | train/epoch_442/ex eea eef
3114 | train/epoch_442/ex iii iii
3115 | train/epoch_442/ex jd jg
3116 | train/epoch_442/ex ccc ccc
3117 | train/epoch_442/ex eeee aeee
3118 | train/epoch_442{1.72s}
3119 | train/epoch_443/loss 6.0468
3120 | train/epoch_443/ex iiiiiiiii iiiiiiiii
3121 | train/epoch_443/ex ddd ddd
3122 | train/epoch_443/ex j c
3123 | train/epoch_443/ex i f
3124 | train/epoch_443/ex fjef ejjf
3125 | train/epoch_443{1.66s}
3126 | train/epoch_444/loss 6.1882
3127 | train/epoch_444/ex hhhhhhh hhhhhhh
3128 | train/epoch_444/ex cccccc cccccc
3129 | train/epoch_444/ex jjjjjjj jjjjjjj
3130 | train/epoch_444/ex bi bi
3131 | train/epoch_444/ex jc jc
3132 | train/epoch_444{1.67s}
3133 | train/epoch_445/loss 6.0480
3134 | train/epoch_445/ex be bd
3135 | train/epoch_445/ex ac ge
3136 | train/epoch_445/ex aaa aaa
3137 | train/epoch_445/ex dddd dddd
3138 | train/epoch_445/ex eee eee
3139 | train/epoch_445{1.71s}
3140 | train/epoch_446/loss 6.5290
3141 | train/epoch_446/ex c g
3142 | train/epoch_446/ex ahhaha aaahah
3143 | train/epoch_446/ex e c
3144 | train/epoch_446/ex ddddd ddddd
3145 | train/epoch_446/ex iiciicic iiiiccic
3146 | train/epoch_446{1.64s}
3147 | train/epoch_447/loss 6.0909
3148 | train/epoch_447/ex jcjc bicj
3149 | train/epoch_447/ex eeeeeei ihhhhii
3150 | train/epoch_447/ex fdg dfc
3151 | train/epoch_447/ex aaa aaa
3152 | train/epoch_447/ex jffjf jjhjf
3153 | train/epoch_447{1.70s}
3154 | train/epoch_448/loss 6.4686
3155 | train/epoch_448/ex jjjj jjjj
3156 | train/epoch_448/ex iji cij
3157 | train/epoch_448/ex aaia aaia
3158 | train/epoch_448/ex fc ca
3159 | train/epoch_448/ex aaae daae
3160 | train/epoch_448{1.69s}
3161 | train/epoch_449/loss 6.1415
3162 | train/epoch_449/ex bbbbj bbbbj
3163 | train/epoch_449/ex fffff fffff
3164 | train/epoch_449/ex iii iii
3165 | train/epoch_449/ex aiaiai iiiaai
3166 | train/epoch_449/ex jfjjf djfff
3167 | train/epoch_449{1.61s}
3168 | train/epoch_450/loss 6.0899
3169 | train/epoch_450/ex jeejee ehehje
3170 | train/epoch_450/ex bbbbb bbbbh
3171 | train/epoch_450/ex bj cb
3172 | train/epoch_450/ex ccaccacc caccacac
3173 | train/epoch_450/ex ddddd ddddd
3174 | train/epoch_450{1.74s}
3175 | train/epoch_451/loss 6.2052
3176 | train/epoch_451/ex cccccccc cccccecc
3177 | train/epoch_451/ex ibiibi ibiiii
3178 | train/epoch_451/ex hhhhhhhhhh hhhhhhhhhh
3179 | train/epoch_451/ex ge gb
3180 | train/epoch_451/ex iia aai
3181 | train/epoch_451{1.68s}
3182 | train/epoch_452/loss 6.4461
3183 | train/epoch_452/ex fff fff
3184 | train/epoch_452/ex hgg hhg
3185 | train/epoch_452/ex iiii iiii
3186 | train/epoch_452/ex ee jj
3187 | train/epoch_452/ex bbggg bgggb
3188 | train/epoch_452{1.65s}
3189 | train/epoch_453/loss 6.0896
3190 | train/epoch_453/ex ehehehe ddehhdh
3191 | train/epoch_453/ex ddd ddd
3192 | train/epoch_453/ex jjjjj jjjjj
3193 | train/epoch_453/ex di bj
3194 | train/epoch_453/ex aaaaaa faaaaa
3195 | train/epoch_453{1.67s}
3196 | train/epoch_454/loss 5.8263
3197 | train/epoch_454/ex e a
3198 | train/epoch_454/ex caccccjc ajajacaa
3199 | train/epoch_454/ex gggg aggg
3200 | train/epoch_454/ex eje jej
3201 | train/epoch_454/ex bbbb bccc
3202 | train/epoch_454{1.74s}
3203 | train/epoch_455/loss 5.9745
3204 | train/epoch_455/ex cccc cccc
3205 | train/epoch_455/ex ab ga
3206 | train/epoch_455/ex aaaaaaaaa aaaaaaaaa
3207 | train/epoch_455/ex hehe eehe
3208 | train/epoch_455/ex eei jee
3209 | train/epoch_455{1.62s}
3210 | train/epoch_456/loss 6.1401
3211 | train/epoch_456/ex eee eee
3212 | train/epoch_456/ex aaa aaa
3213 | train/epoch_456/ex ccccc ccccc
3214 | train/epoch_456/ex ggggg ggggg
3215 | train/epoch_456/ex fch fcf
3216 | train/epoch_456{1.68s}
3217 | train/epoch_457/loss 6.0618
3218 | train/epoch_457/ex e e
3219 | train/epoch_457/ex ffhhhf hhfhhf
3220 | train/epoch_457/ex jjjjj jjjjh
3221 | train/epoch_457/ex gggggf gfgggg
3222 | train/epoch_457/ex jhj jhe
3223 | train/epoch_457{1.65s}
3224 | train/epoch_458/loss 6.3180
3225 | train/epoch_458/ex ha ji
3226 | train/epoch_458/ex d c
3227 | train/epoch_458/ex ca ag
3228 | train/epoch_458/ex j e
3229 | train/epoch_458/ex dj de
3230 | train/epoch_458{1.71s}
3231 | train/epoch_459/loss 5.7988
3232 | train/epoch_459/ex aad aag
3233 | train/epoch_459/ex i i
3234 | train/epoch_459/ex ccc jjj
3235 | train/epoch_459/ex ccc ccc
3236 | train/epoch_459/ex ggg ggd
3237 | train/epoch_459{1.73s}
3238 | train/epoch_460/loss 5.9250
3239 | train/epoch_460/ex ffff ffff
3240 | train/epoch_460/ex ddd ddd
3241 | train/epoch_460/ex hhh hhh
3242 | train/epoch_460/ex dfd idf
3243 | train/epoch_460/ex c c
3244 | train/epoch_460{1.63s}
3245 | train/epoch_461/loss 5.8154
3246 | train/epoch_461/ex aaa afa
3247 | train/epoch_461/ex i i
3248 | train/epoch_461/ex ddd iii
3249 | train/epoch_461/ex gggg gggg
3250 | train/epoch_461/ex ggg ggj
3251 | train/epoch_461{1.60s}
3252 | train/epoch_462/loss 6.4168
3253 | train/epoch_462/ex aaaaa aaaaa
3254 | train/epoch_462/ex dddf eedd
3255 | train/epoch_462/ex ii ii
3256 | train/epoch_462/ex jjj jji
3257 | train/epoch_462/ex bbb bbd
3258 | train/epoch_462{1.66s}
3259 | train/epoch_463/loss 6.2851
3260 | train/epoch_463/ex jjj jjj
3261 | train/epoch_463/ex aaa eee
3262 | train/epoch_463/ex d e
3263 | train/epoch_463/ex ggg ggg
3264 | train/epoch_463/ex eee eee
3265 | train/epoch_463{1.69s}
3266 | train/epoch_464/loss 5.9816
3267 | train/epoch_464/ex aaaa aaha
3268 | train/epoch_464/ex dc dc
3269 | train/epoch_464/ex dada daad
3270 | train/epoch_464/ex jhhhjjh hjhjjhh
3271 | train/epoch_464/ex fhf hfh
3272 | train/epoch_464{1.72s}
3273 | train/epoch_465/loss 5.9140
3274 | train/epoch_465/ex iijjji ijijjj
3275 | train/epoch_465/ex ic jc
3276 | train/epoch_465/ex aag gaa
3277 | train/epoch_465/ex hhh jhh
3278 | train/epoch_465/ex ddd hdd
3279 | train/epoch_465{1.64s}
3280 | train/epoch_466/loss 5.9214
3281 | train/epoch_466/ex c d
3282 | train/epoch_466/ex ggg cgg
3283 | train/epoch_466/ex hhhhd dhdhh
3284 | train/epoch_466/ex hd bh
3285 | train/epoch_466/ex bjbj djbj
3286 | train/epoch_466{1.64s}
3287 | train/epoch_467/loss 6.4123
3288 | train/epoch_467/ex ceaea aegec
3289 | train/epoch_467/ex bbh bhb
3290 | train/epoch_467/ex aaaaaa caaaaa
3291 | train/epoch_467/ex ggg ggg
3292 | train/epoch_467/ex d b
3293 | train/epoch_467{1.75s}
3294 | train/epoch_468/loss 6.0019
3295 | train/epoch_468/ex ei ej
3296 | train/epoch_468/ex dddc cdcd
3297 | train/epoch_468/ex ggdd gdgg
3298 | train/epoch_468/ex fe ef
3299 | train/epoch_468/ex hh hh
3300 | train/epoch_468{1.68s}
3301 | train/epoch_469/loss 6.5598
3302 | train/epoch_469/ex jjjj jjjj
3303 | train/epoch_469/ex ggggg ggggg
3304 | train/epoch_469/ex aga aga
3305 | train/epoch_469/ex bbb bbb
3306 | train/epoch_469/ex hg dh
3307 | train/epoch_469{1.75s}
3308 | train/epoch_470/loss 5.9900
3309 | train/epoch_470/ex hh hh
3310 | train/epoch_470/ex hhj bhh
3311 | train/epoch_470/ex gg aa
3312 | train/epoch_470/ex gd gj
3313 | train/epoch_470/ex ga ia
3314 | train/epoch_470{1.70s}
3315 | train/epoch_471/loss 6.3808
3316 | train/epoch_471/ex ec ic
3317 | train/epoch_471/ex gh ag
3318 | train/epoch_471/ex iiii giii
3319 | train/epoch_471/ex aaag ahaa
3320 | train/epoch_471/ex ffff ffff
3321 | train/epoch_471{1.67s}
3322 | train/epoch_472/loss 6.0119
3323 | train/epoch_472/ex i i
3324 | train/epoch_472/ex aaaa aaaa
3325 | train/epoch_472/ex ggg ggg
3326 | train/epoch_472/ex iiii iiii
3327 | train/epoch_472/ex bbb bbb
3328 | train/epoch_472{1.69s}
3329 | train/epoch_473/loss 6.0915
3330 | train/epoch_473/ex hf hf
3331 | train/epoch_473/ex dd gg
3332 | train/epoch_473/ex aaj aac
3333 | train/epoch_473/ex eegg gbee
3334 | train/epoch_473/ex gc ig
3335 | train/epoch_473{1.63s}
3336 | train/epoch_474/loss 6.1220
3337 | train/epoch_474/ex ccccc ccccc
3338 | train/epoch_474/ex ejejj ejeej
3339 | train/epoch_474/ex d c
3340 | train/epoch_474/ex gg ee
3341 | train/epoch_474/ex d c
3342 | train/epoch_474{1.63s}
3343 | train/epoch_475/loss 5.9406
3344 | train/epoch_475/ex eeeee aeeee
3345 | train/epoch_475/ex aah haa
3346 | train/epoch_475/ex ddddd ddddd
3347 | train/epoch_475/ex j b
3348 | train/epoch_475/ex hhh hhh
3349 | train/epoch_475{1.66s}
3350 | train/epoch_476/loss 5.6717
3351 | train/epoch_476/ex e a
3352 | train/epoch_476/ex jjjjj jdjjj
3353 | train/epoch_476/ex ajjaj eajjj
3354 | train/epoch_476/ex aaaaa aaaaa
3355 | train/epoch_476/ex i i
3356 | train/epoch_476{1.63s}
3357 | train/epoch_477/loss 6.0442
3358 | train/epoch_477/ex eeeee eeeee
3359 | train/epoch_477/ex jjj jjj
3360 | train/epoch_477/ex dddd dddd
3361 | train/epoch_477/ex jjj eee
3362 | train/epoch_477/ex cgccggc gcccggg
3363 | train/epoch_477{1.71s}
3364 | train/epoch_478/loss 5.9641
3365 | train/epoch_478/ex jjjjjjj jjjggjj
3366 | train/epoch_478/ex ff ff
3367 | train/epoch_478/ex hhh bbb
3368 | train/epoch_478/ex ggc gfg
3369 | train/epoch_478/ex aaaaa baaaa
3370 | train/epoch_478{1.71s}
3371 | train/epoch_479/loss 6.0973
3372 | train/epoch_479/ex jf gj
3373 | train/epoch_479/ex aa da
3374 | train/epoch_479/ex eeee geee
3375 | train/epoch_479/ex iii iii
3376 | train/epoch_479/ex aaaj aaaj
3377 | train/epoch_479{1.65s}
3378 | train/epoch_480/loss 6.2255
3379 | train/epoch_480/ex baba babb
3380 | train/epoch_480/ex c e
3381 | train/epoch_480/ex gggge ggeee
3382 | train/epoch_480/ex eb ce
3383 | train/epoch_480/ex bbbgg gbbbb
3384 | train/epoch_480{1.65s}
3385 | train/epoch_481/loss 5.8839
3386 | train/epoch_481/ex iiiiiiiii biiiiiiii
3387 | train/epoch_481/ex ahah ihah
3388 | train/epoch_481/ex j j
3389 | train/epoch_481/ex ccccc ccccc
3390 | train/epoch_481/ex jjcjd jdcjj
3391 | train/epoch_481{1.75s}
3392 | train/epoch_482/loss 5.8425
3393 | train/epoch_482/ex e i
3394 | train/epoch_482/ex aaaa aaaa
3395 | train/epoch_482/ex gggg gggg
3396 | train/epoch_482/ex aaaa eaaa
3397 | train/epoch_482/ex cccc cccc
3398 | train/epoch_482{1.68s}
3399 | train/epoch_483/loss 6.1832
3400 | train/epoch_483/ex jh aj
3401 | train/epoch_483/ex df df
3402 | train/epoch_483/ex aaaaf eaeia
3403 | train/epoch_483/ex jhj jhj
3404 | train/epoch_483/ex gggg ggef
3405 | train/epoch_483{1.68s}
3406 | train/epoch_484/loss 6.2235
3407 | train/epoch_484/ex eeeeee eeeeee
3408 | train/epoch_484/ex fff fff
3409 | train/epoch_484/ex jjjj jjja
3410 | train/epoch_484/ex aa jj
3411 | train/epoch_484/ex dddddd ddbddd
3412 | train/epoch_484{1.71s}
3413 | train/epoch_485/loss 6.2125
3414 | train/epoch_485/ex bbjj gjjb
3415 | train/epoch_485/ex e i
3416 | train/epoch_485/ex jjjj jjjj
3417 | train/epoch_485/ex iii iii
3418 | train/epoch_485/ex jh ji
3419 | train/epoch_485{1.74s}
3420 | train/epoch_486/loss 6.1269
3421 | train/epoch_486/ex aaaa agaa
3422 | train/epoch_486/ex aaaaaaaaaa ijijaajjji
3423 | train/epoch_486/ex ejej jejj
3424 | train/epoch_486/ex aggag agaaa
3425 | train/epoch_486/ex bbbb bbbd
3426 | train/epoch_486{1.63s}
3427 | 


--------------------------------------------------------------------------------