config.json

{
  "_name_or_path": "SpanBERT/spanbert-large-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "Over-all_Complaint Label",
    "1": "provider_response",
    "2": "misc_info",
    "3": "credential_error",
    "4": "net_banking_issue",
    "5": "consumer_safety",
    "6": "review",
    "7": "no_aspects",
    "8": "general_query",
    "9": "financial_situation",
    "10": "financial_info",
    "11": "Complaint",
    "12": "Non Complaint"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Complaint": 11,
    "Non Complaint": 12,
    "Over-all_Complaint Label": 0,
    "consumer_safety": 5,
    "credential_error": 3,
    "financial_info": 10,
    "financial_situation": 9,
    "general_query": 8,
    "misc_info": 2,
    "net_banking_issue": 4,
    "no_aspects": 7,
    "provider_response": 1,
    "review": 6
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.41.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}