├── .gitignore ├── LICENSE ├── PATENTS ├── README.md ├── distributed_train.py ├── docs ├── Makefile ├── _static │ └── theme_overrides.css ├── command_line_tools.rst ├── conf.py ├── criterions.rst ├── data.rst ├── docutils.conf ├── getting_started.rst ├── index.rst ├── lr_scheduler.rst ├── make.bat ├── models.rst ├── modules.rst ├── optim.rst ├── overview.rst ├── requirements.txt ├── tasks.rst ├── tutorial_classifying_names.rst └── tutorial_simple_lstm.rst ├── double.py ├── eval_lm.py ├── examples ├── .gitignore ├── bert │ ├── WikiExtractor.py │ ├── concat_short_sentences.py │ ├── filter_and_cleanup_lines.py │ ├── process_bert.sh │ ├── segment_sentence.py │ └── split.py ├── common │ ├── length_filter_by_char.py │ ├── length_filter_by_token.py │ ├── precleanup_english.py │ ├── remove_non_utf8_chars.py │ └── truncate_by_token.py └── glue │ ├── align_text.py │ ├── download_glue_data.py │ ├── generate_cola.py │ ├── generate_diagnostic.py │ ├── generate_mnli.py │ ├── generate_mnli_mm.py │ ├── generate_mrpc.py │ ├── generate_qnli.py │ ├── generate_qqp.py │ ├── generate_rte.py │ ├── generate_sts.py │ ├── generate_wnli.py │ ├── process_glue.sh │ ├── process_predictions.py │ └── single_sentence.py ├── fairseq.gif ├── fairseq ├── __init__.py ├── bleu.py ├── clib │ └── libbleu │ │ ├── libbleu.cpp │ │ └── module.cpp ├── criterions │ ├── __init__.py │ ├── adaptive_loss.py │ ├── cross_entropy.py │ ├── cross_entropy_bert.py │ ├── cross_entropy_classify.py │ ├── cross_entropy_classify_binary.py │ ├── fairseq_criterion.py │ ├── label_smoothed_cross_entropy.py │ └── mean_squared_error.py ├── data │ ├── __init__.py │ ├── backtranslation_dataset.py │ ├── bert_dataset.py │ ├── data_utils.py │ ├── dictionary.py │ ├── fairseq_dataset.py │ ├── glue_dataset.py │ ├── indexed_dataset.py │ ├── iterators.py │ ├── language_pair_dataset.py │ ├── monolingual_dataset.py │ └── token_block_dataset.py ├── distributed_utils.py ├── meters.py ├── models │ ├── __init__.py │ ├── composite_encoder.py │ ├── distributed_fairseq_model.py │ ├── fairseq_decoder.py │ ├── fairseq_encoder.py │ ├── fairseq_incremental_decoder.py │ ├── fairseq_model.py │ ├── fconv.py │ ├── fconv_self_att.py │ ├── lstm.py │ └── transformer.py ├── modules │ ├── __init__.py │ ├── adaptive_softmax.py │ ├── beamable_mm.py │ ├── character_token_embedder.py │ ├── conv_tbc.py │ ├── downsampled_multihead_attention.py │ ├── grad_multiply.py │ ├── highway.py │ ├── learned_positional_embedding.py │ ├── linearized_convolution.py │ ├── multihead_attention.py │ ├── scalar_bias.py │ └── sinusoidal_positional_embedding.py ├── multiprocessing_pdb.py ├── optim │ ├── __init__.py │ ├── adagrad.py │ ├── adam.py │ ├── fairseq_optimizer.py │ ├── fp16_optimizer.py │ ├── lr_scheduler │ │ ├── __init__.py │ │ ├── cosine_lr_scheduler.py │ │ ├── exp_lr_scheduler.py │ │ ├── fairseq_lr_scheduler.py │ │ ├── fixed_schedule.py │ │ ├── inverse_square_root_schedule.py │ │ ├── linear_lr_schedule.py │ │ ├── reduce_lr_on_plateau.py │ │ └── triangular_lr_scheduler.py │ ├── nag.py │ └── sgd.py ├── options.py ├── progress_bar.py ├── search.py ├── sequence_generator.py ├── sequence_scorer.py ├── tasks │ ├── __init__.py │ ├── bert.py │ ├── fairseq_task.py │ ├── glue.py │ ├── language_modeling.py │ └── translation.py ├── tokenizer.py ├── trainer.py └── utils.py ├── generate.py ├── identity.py ├── inference.py ├── install.sh ├── interactive.py ├── multiprocessing_train.py ├── preprocess.py ├── preprocess_bert.py ├── quadruple.py ├── reproduce_bert.sh ├── reproduce_glue.sh ├── requirements.txt ├── score.py ├── scripts ├── __init__.py ├── average_checkpoints.py ├── build_sym_alignment.py ├── convert_dictionary.lua ├── convert_model.lua └── read_binarized.py ├── setup.py ├── tests ├── __init__.py ├── test_average_checkpoints.py ├── test_backtranslation_dataset.py ├── test_binaries.py ├── test_character_token_embedder.py ├── test_convtbc.py ├── test_dictionary.py ├── test_iterators.py ├── test_label_smoothing.py ├── 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