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Browse files- .gitattributes +4 -0
- best_model/decoder/config.json +30 -0
- best_model/decoder/generation_config.json +7 -0
- best_model/decoder/pytorch_model.bin +3 -0
- best_model/decoder/sentencepiece.bpe.model +3 -0
- best_model/decoder/special_tokens_map.json +15 -0
- best_model/decoder/tokenizer.json +3 -0
- best_model/decoder/tokenizer_config.json +19 -0
- best_model/encoder/config.json +28 -0
- best_model/encoder/pytorch_model.bin +3 -0
- best_model/encoder/sentencepiece.bpe.model +3 -0
- best_model/encoder/special_tokens_map.json +15 -0
- best_model/encoder/tokenizer.json +3 -0
- best_model/encoder/tokenizer_config.json +19 -0
- best_model/eval_results.txt +1 -0
- best_model/model_args.json +1 -0
- best_model/optimizer.pt +3 -0
- best_model/scheduler.pt +3 -0
- best_model/training_args.bin +3 -0
- checkpoint-44800/decoder/config.json +30 -0
- checkpoint-44800/decoder/generation_config.json +7 -0
- checkpoint-44800/decoder/pytorch_model.bin +3 -0
- checkpoint-44800/decoder/sentencepiece.bpe.model +3 -0
- checkpoint-44800/decoder/special_tokens_map.json +15 -0
- checkpoint-44800/decoder/tokenizer.json +3 -0
- checkpoint-44800/decoder/tokenizer_config.json +19 -0
- checkpoint-44800/encoder/config.json +28 -0
- checkpoint-44800/encoder/pytorch_model.bin +3 -0
- checkpoint-44800/encoder/sentencepiece.bpe.model +3 -0
- checkpoint-44800/encoder/special_tokens_map.json +15 -0
- checkpoint-44800/encoder/tokenizer.json +3 -0
- checkpoint-44800/encoder/tokenizer_config.json +19 -0
- checkpoint-44800/eval_results.txt +1 -0
- checkpoint-44800/model_args.json +1 -0
- checkpoint-44800/optimizer.pt +3 -0
- checkpoint-44800/scheduler.pt +3 -0
- checkpoint-44800/training_args.bin +3 -0
- eval_results.txt +1 -0
- training_progress_scores.csv +20 -0
.gitattributes
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best_model/eval_results.txt
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eval_loss = 8.552877298666978
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best_model/model_args.json
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|
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checkpoint-44800/decoder/generation_config.json
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|
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checkpoint-44800/decoder/pytorch_model.bin
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checkpoint-44800/encoder/config.json
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|
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checkpoint-44800/encoder/pytorch_model.bin
ADDED
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checkpoint-44800/encoder/sentencepiece.bpe.model
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checkpoint-44800/encoder/tokenizer.json
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checkpoint-44800/eval_results.txt
ADDED
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eval_loss = 12.112716560049117
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checkpoint-44800/model_args.json
ADDED
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{"adafactor_beta1": null, "adafactor_clip_threshold": 1.0, "adafactor_decay_rate": -0.8, "adafactor_eps": [1e-30, 0.001], "adafactor_relative_step": true, "adafactor_scale_parameter": true, "adafactor_warmup_init": true, "adam_betas": [0.9, 0.999], "adam_epsilon": 1e-08, "best_model_dir": "outputs/xlmrlarge/best_model", "cache_dir": "cache_dir/xlmrlarge", "config": {}, "cosine_schedule_num_cycles": 0.5, "custom_layer_parameters": [], "custom_parameter_groups": [], "dataloader_num_workers": 0, "do_lower_case": false, "dynamic_quantize": false, "early_stopping_consider_epochs": false, "early_stopping_delta": 0, "early_stopping_metric": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 25, "encoding": null, "eval_batch_size": 8, "evaluate_during_training": true, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 3200, "evaluate_during_training_verbose": true, "evaluate_each_epoch": true, "fp16": false, "gradient_accumulation_steps": 1, "learning_rate": 0.0001, "local_rank": -1, "logging_steps": 3200, "loss_type": null, "loss_args": {}, "manual_seed": 777, "max_grad_norm": 1.0, "max_seq_length": 256, "model_name": "xlm-roberta-large-xlm-roberta-large", "model_type": "auto-bert", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 10, "optimizer": "AdamW", "output_dir": "outputs/xlmrlarge", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 78, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": true, "save_model_every_epoch": true, "save_optimizer_and_scheduler": true, "save_steps": 3200, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": null, "tokenizer_type": null, "train_batch_size": 8, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": false, "use_multiprocessing_for_evaluation": false, "wandb_kwargs": {"name": "xlm-roberta-large"}, "wandb_project": "DORE", "warmup_ratio": 0.06, "warmup_steps": 4946, "weight_decay": 0.0, "model_class": "Seq2SeqModel", "base_marian_model_name": null, "dataset_class": null, "dataset_cache_dir": null, "do_sample": false, "early_stopping": true, "evaluate_generated_text": true, "faiss_d": 768, "faiss_m": 128, "include_title_in_knowledge_dataset": true, "length_penalty": 2.0, "max_length": 20, "max_steps": -1, "num_beams": 1, "num_return_sequences": 1, "rag_embed_batch_size": 16, "repetition_penalty": 1.0, "save_knowledge_dataset": true, "save_knowledge_dataset_with_checkpoints": false, "save_recent_only": true, "split_text_character": " ", "split_text_n": 100, "src_lang": "en_XX", "tgt_lang": "ro_RO", "top_k": null, "top_p": null, "use_multiprocessed_decoding": false}
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checkpoint-44800/optimizer.pt
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