rigonsallauka
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Parent(s):
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Upload 10 files
Browse files- config.json +56 -0
- eval_results.txt +5 -0
- model_args.json +1 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +15 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "bert-base-cased",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-PROBLEM",
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"2": "I-PROBLEM",
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"3": "E-PROBLEM",
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"4": "S-PROBLEM",
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"5": "B-TREATMENT",
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"6": "I-TREATMENT",
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"7": "E-TREATMENT",
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"8": "S-TREATMENT",
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"9": "B-TEST",
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"10": "I-TEST",
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"11": "E-TEST",
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"12": "S-TEST"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"O": 0,
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"B-PROBLEM": 1,
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"I-PROBLEM": 2,
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"E-PROBLEM": 3,
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"S-PROBLEM": 4,
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"B-TREATMENT": 5,
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"I-TREATMENT": 6,
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"E-TREATMENT": 7,
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"S-TREATMENT": 8,
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"B-TEST": 9,
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"I-TEST": 10,
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"E-TEST": 11,
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"S-TEST": 12
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.28.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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eval_results.txt
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accuracy = 0.8956736295802527
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eval_loss = 0.33073930588338835
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f1_score = 0.7760717035401444
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precision = 0.7713543170661277
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recall = 0.7808471454880295
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model_args.json
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{"adam_epsilon": 1e-08, "best_model_dir": "outputs/es_model_ds/best_model", "cache_dir": "cache_dir/", "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": true, "early_stopping_delta": 0, "early_stopping_metric": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 30, "encoding": null, "adafactor_eps": [1e-30, 0.001], "adafactor_clip_threshold": 1.0, "adafactor_decay_rate": -0.8, "adafactor_beta1": null, "adafactor_scale_parameter": true, "adafactor_relative_step": true, "adafactor_warmup_init": true, "eval_batch_size": 64, "evaluate_during_training": true, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 2000, "evaluate_during_training_verbose": false, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 1, "learning_rate": 3e-05, "local_rank": -1, "logging_steps": 50, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 128, "model_name": "bert-base-cased", "model_type": "bert", "multiprocessing_chunksize": 500, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 200, "optimizer": "AdamW", "output_dir": "outputs/es_model_ds", "overwrite_output_dir": true, "process_count": 254, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": false, "save_model_every_epoch": false, "save_optimizer_and_scheduler": true, "save_steps": -1, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_type": null, "tokenizer_name": null, "train_batch_size": 64, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": true, "use_multiprocessing": true, "wandb_kwargs": {}, "wandb_project": "sl-tagging", "warmup_ratio": 0.06, "warmup_steps": 66540, "weight_decay": 0.01, "model_class": "NERModel", "classification_report": true, "labels_list": ["O", "B-PROBLEM", "I-PROBLEM", "E-PROBLEM", "S-PROBLEM", "B-TREATMENT", "I-TREATMENT", "E-TREATMENT", "S-TREATMENT", "B-TEST", "I-TEST", "E-TEST", "S-TEST"], "lazy_loading": false, "lazy_loading_start_line": 0, "onnx": false, "special_tokens_list": []}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:13d49ccf2bc633f60b810a55b25958bdbd005a46e4e32da4cb12fb76f8f3c55a
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size 861962733
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c703393673ef39794c937a256f7c91249a02223fa8bc3c6eea6d2685f96f56a6
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size 430994295
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:29d38d43084ac1ce107766866361d6ba5dadca8e7be91348049baf6a57f69ec3
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size 623
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a281424bb25543e27593285347e2fbe1c58d17d975cfa1e3facae763528abe7
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size 3055
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vocab.txt
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