| { | |
| "_name_or_path": "/media/bramiozo/Storage2/DATA/NER/DT4H_results/NL/CardioBerta_clinical/multilabel_iob_128_paragraph/fold_7", | |
| "architectures": [ | |
| "RobertaForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "freeze_backbone": false, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-MEDICATION", | |
| "2": "I-MEDICATION", | |
| "3": "B-PROCEDURE", | |
| "4": "I-PROCEDURE", | |
| "5": "B-SYMPTOM", | |
| "6": "I-SYMPTOM", | |
| "7": "B-DISEASE", | |
| "8": "I-DISEASE" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "B-DISEASE": 7, | |
| "B-MEDICATION": 1, | |
| "B-PROCEDURE": 3, | |
| "B-SYMPTOM": 5, | |
| "I-DISEASE": 8, | |
| "I-MEDICATION": 2, | |
| "I-PROCEDURE": 4, | |
| "I-SYMPTOM": 6, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 514, | |
| "model_arguments": { | |
| "classifier_dropout": null, | |
| "freeze_backbone": false, | |
| "max_length": 128 | |
| }, | |
| "model_type": "roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "bfloat16", | |
| "training_arguments": { | |
| "eval_strategy": "epoch", | |
| "fp16": true, | |
| "gradient_accumulation_steps": 1, | |
| "learning_rate": 1e-05, | |
| "logging_dir": "/media/bramiozo/Storage2/DATA/NER/DT4H_results/NL/CardioBerta_clinical/multilabel_iob_128_paragraph/fold_7/logs", | |
| "logging_steps": 256, | |
| "logging_strategy": "steps", | |
| "metric_for_best_model": "f1_macro", | |
| "num_train_epochs": 20, | |
| "output_dir": "/media/bramiozo/Storage2/DATA/NER/DT4H_results/NL/CardioBerta_clinical/multilabel_iob_128_paragraph/fold_7", | |
| "per_device_eval_batch_size": 48, | |
| "per_device_train_batch_size": 48, | |
| "report_to": "tensorboard", | |
| "run_name": "CardioNER", | |
| "save_strategy": "best", | |
| "save_total_limit": 1, | |
| "use_cpu": false, | |
| "weight_decay": 0.0001 | |
| }, | |
| "transformers_version": "4.48.0", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 52000 | |
| } | |