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Aphasia_Classification__Lang
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{
  "model_name": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext",
  "model_type": "StableAphasiaClassifier",
  "num_labels": 9,
  "architectures": ["StableAphasiaClassifier"],
  
  "_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext",
  "problem_type": "single_label_classification",
  
  "aphasia_types_mapping": {
    "BROCA": 0,
    "TRANSMOTOR": 1,
    "NOTAPHASICBYWAB": 2,
    "CONDUCTION": 3,
    "WERNICKE": 4,
    "ANOMIC": 5,
    "GLOBAL": 6,
    "ISOLATION": 7,
    "TRANSSENSORY": 8
  },
  
  "id2label": {
    "0": "BROCA",
    "1": "TRANSMOTOR", 
    "2": "NOTAPHASICBYWAB",
    "3": "CONDUCTION",
    "4": "WERNICKE",
    "5": "ANOMIC",
    "6": "GLOBAL",
    "7": "ISOLATION",
    "8": "TRANSSENSORY"
  },
  
  "label2id": {
    "BROCA": 0,
    "TRANSMOTOR": 1,
    "NOTAPHASICBYWAB": 2,
    "CONDUCTION": 3,
    "WERNICKE": 4,
    "ANOMIC": 5,
    "GLOBAL": 6,
    "ISOLATION": 7,
    "TRANSSENSORY": 8
  },
  
  "model_config": {
    "max_length": 512,
    "hidden_size": 768,
    "pos_vocab_size": 150,
    "pos_emb_dim": 64,
    "grammar_dim": 3,
    "grammar_hidden_dim": 64,
    "duration_hidden_dim": 128,
    "prosody_dim": 32,
    "num_attention_heads": 8,
    "attention_dropout": 0.3,
    "classifier_hidden_dims": [512, 256],
    "dropout_rate": 0.3,
    "activation_fn": "tanh"
  },
  
  "training_config": {
    "learning_rate": 0.0005,
    "weight_decay": 0.01,
    "warmup_ratio": 0.1,
    "batch_size": 10,
    "gradient_accumulation_steps": 4,
    "use_focal_loss": true,
    "focal_alpha": 1.0,
    "focal_gamma": 2.0,
    "use_mixup": false,
    "mixup_alpha": 0.2,
    "use_label_smoothing": true,
    "label_smoothing": 0.1
  },
  
  "adaptive_lr_config": {
    "adaptive_lr": true,
    "lr_patience": 3,
    "lr_factor": 0.8,
    "lr_increase_factor": 1.2,
    "min_lr": 1e-06,
    "max_lr": 0.001,
    "oscillation_amplitude": 0.1
  },
  
  "tokenizer_config": {
    "pad_token": "[PAD]",
    "unk_token": "[UNK]",
    "sep_token": "[SEP]",
    "cls_token": "[CLS]",
    "mask_token": "[MASK]",
    "additional_special_tokens": [
      "[DIALOGUE]",
      "[TURN]", 
      "[PAUSE]",
      "[REPEAT]",
      "[HESITATION]"
    ]
  },
  
  "torch_dtype": "float32",
  "transformers_version": "4.36.0",
  
  "_commit_hash": null,
  "auto_map": {
    "AutoModel": "StableAphasiaClassifier"
  }
}