config.json

{
  "_name_or_path": "semaj83/scibert_finetuned_ctmatch",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "not_relevant",
    "1": "partially_relevant",
    "2": "relevant"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "not_relevant": "0",
    "partially_relevant": "1",
    "relevant": "2"
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "pruned_heads": {
    "0": [
      0,
      1,
      7
    ],
    "1": [
      11,
      10,
      3
    ],
    "2": [
      1,
      3,
      7,
      9,
      11
    ],
    "3": [
      4
    ],
    "4": [],
    "5": [
      0,
      1
    ],
    "6": [],
    "7": [
      7
    ],
    "8": [],
    "9": [],
    "10": [],
    "11": []
  },
  "torch_dtype": "float32",
  "transformers_version": "4.29.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 31090
}