add new model files
Browse files- config.json +27 -0
- eval_results.txt +11 -0
- model_args.json +1 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "dccuchile/bert-base-spanish-wwm-cased",
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"architectures": [
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"BertForSequenceClassification"
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.12.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31002
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}
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eval_results.txt
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auprc = 0.8325431712267156
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auroc = 0.9528787298395142
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eval_loss = 0.27405190492216286
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f1 = 0.7815771109560363
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fn = 142
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fp = 171
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mcc = 0.7267621337756717
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precision = 0.7660738714090287
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recall = 0.7977207977207977
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tn = 2685
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tp = 560
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model_args.json
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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_epsilon": 1e-08, "best_model_dir": "/scratch/mt4493/twitter_labor/trained_models/MX/dccuchile-bert-base-spanish-wwm-cased_jan25_iter24_14353858_seed-1/is_unemployed/models/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": false, "early_stopping_delta": 0, "early_stopping_metric": "auroc", "early_stopping_metric_minimize": false, "early_stopping_patience": 11, "encoding": null, "eval_batch_size": 8, "evaluate_during_training": true, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 103, "evaluate_during_training_verbose": true, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 1, "learning_rate": 4e-05, "local_rank": -1, "logging_steps": 50, "manual_seed": 1, "max_grad_norm": 1.0, "max_seq_length": 128, "model_name": "dccuchile/bert-base-spanish-wwm-cased", "model_type": "bert", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 10, "optimizer": "AdamW", "output_dir": "/scratch/mt4493/twitter_labor/trained_models/MX/dccuchile-bert-base-spanish-wwm-cased_jan25_iter24_14353858_seed-1/is_unemployed/models", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 46, "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": 2000, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": "runs/14353858_is_unemployed/", "thread_count": null, "tokenizer_name": "dccuchile/bert-base-spanish-wwm-cased", "tokenizer_type": null, "train_batch_size": 8, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": true, "use_hf_datasets": false, "use_multiprocessing": true, "use_multiprocessing_for_evaluation": true, "wandb_kwargs": {}, "wandb_project": null, "warmup_ratio": 0.06, "warmup_steps": 623, "weight_decay": 0.0, "model_class": "ClassificationModel", "labels_list": [0, 1], "labels_map": {}, "lazy_delimiter": "\t", "lazy_labels_column": 1, "lazy_loading": false, "lazy_loading_start_line": 1, "lazy_text_a_column": null, "lazy_text_b_column": null, "lazy_text_column": 0, "onnx": false, "regression": false, "sliding_window": false, "special_tokens_list": [], "stride": 0.8, "tie_value": 1}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:70877d9f3cd5668928714723e4899074548dcc8351899bb51d0775712b825084
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size 878945489
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ffbaf4240bec189617cecd2ef1fbd6e97c5c48641aa844bfacf30b31e105729
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size 439499017
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2710f159f221fe38c40af6ea5f52ddaf4fd760ac999912ca223c099e6af04a3
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size 623
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "name_or_path": "dccuchile/bert-base-spanish-wwm-cased", "do_basic_tokenize": true, "never_split": null, "model_max_length": 512, "special_tokens_map_file": "/home/mt4493/.cache/huggingface/transformers/9848a00af462c42dfb4ec88ef438fbab5256330f7f6f50badc48d277f9367d49.f982506b52498d4adb4bd491f593dc92b2ef6be61bfdbe9d30f53f963f9f5b66", "tokenizer_class": "BertTokenizer"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:32318ae8a75105b8fdbbe3eab309bff9ce8c99a345538c3ec52c7520b5956b2b
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size 3439
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vocab.txt
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