config.json

{
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  "architectures": [
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  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoModelForTokenClassification": "modeling.MultiLabelTokenClassificationModelCustom"
  },
  "bos_token_id": 0,
  "classifier_dropout": 0.1,
  "classifier_hidden_layers": [
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    256
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  "custom_model_type": "MultiLabelTokenClassificationModelCustom",
  "eos_token_id": 2,
  "freeze_backbone": true,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-SYMPTOM",
    "2": "I-SYMPTOM",
    "3": "B-DISEASE",
    "4": "I-DISEASE",
    "5": "B-MEDICATION",
    "6": "I-MEDICATION",
    "7": "B-PROCEDURE",
    "8": "I-PROCEDURE"
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  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
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    "B-MEDICATION": 5,
    "B-PROCEDURE": 7,
    "B-SYMPTOM": 1,
    "I-DISEASE": 4,
    "I-MEDICATION": 6,
    "I-PROCEDURE": 8,
    "I-SYMPTOM": 2,
    "O": 0
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  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 514,
  "model_arguments": {
    "classifier_dropout": 0.1,
    "freeze_backbone": true,
    "max_length": 128
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  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "requires_trust_remote_code": true,
  "torch_dtype": "bfloat16",
  "training_arguments": {
    "eval_strategy": "epoch",
    "fp16": true,
    "gradient_accumulation_steps": 1,
    "learning_rate": 0.01,
    "logging_dir": "/media/bramiozo/Storage2/DATA/NER/DT4H_results/NL/MedRoBERTa/multilabel_maxTL128_batch32_chunk128_epochs5_ccc_center_wIOB_HEADONLY/fold_7/logs",
    "logging_steps": 256,
    "logging_strategy": "steps",
    "metric_for_best_model": "f1_macro",
    "num_train_epochs": 10,
    "output_dir": "/media/bramiozo/Storage2/DATA/NER/DT4H_results/NL/MedRoBERTa/multilabel_maxTL128_batch32_chunk128_epochs5_ccc_center_wIOB_HEADONLY/fold_7",
    "per_device_eval_batch_size": 32,
    "per_device_train_batch_size": 32,
    "report_to": "tensorboard",
    "run_name": "CardioNER",
    "save_strategy": "best",
    "save_total_limit": 1,
    "use_cpu": false,
    "weight_decay": 0.0001
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  "transformers_version": "4.48.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 52000
}