config.json

{
  "model_type": "medicoder_complete",
  "architecture": "prototypical_network_with_embedded_prototypes",
  "base_model": "emilyalsentzer/Bio_ClinicalBERT",
  "embedding_dim": 768,
  "num_medical_codes": 57768,
  "num_prototypes": 57768,
  "performance": {
    "top_1_accuracy": 0.463,
    "training_approach": "few_shot_learning",
    "optimization_phase": 2,
    "contains_prototypes": true,
    "deployment_ready": true
  },
  "prototype_info": {
    "prototype_shape": [
      57768,
      768
    ],
    "total_parameters": "~445M",
    "self_contained": true,
    "no_dataset_required": true
  },
  "tokenizer_class": "BertTokenizer",
  "max_position_embeddings": 512,
  "vocab_size": 28996,
  "hidden_size": 768,
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "type_vocab_size": 2,
  "initializer_range": 0.02,
  "layer_norm_eps": 1e-12,
  "pad_token_id": 0,
  "gradient_checkpointing": false,
  "use_cache": true,
  "version": "4.0_complete"
}