config.json

{
  "_name_or_path": "oohtmeel/Bert_protein_classifier",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "GO:0000006",
    "1": "GO:0000018",
    "2": "GO:0000009",
    "3": "GO:0000015",
    "4": "GO:0000003",
    "5": "GO:0000016",
    "6": "GO:0000012",
    "7": "GO:0000007",
    "8": "GO:0000017",
    "9": "GO:0000011",
    "10": "GO:0000010",
    "11": "GO:0000014"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "GO:0000003": 4,
    "GO:0000006": 0,
    "GO:0000007": 7,
    "GO:0000009": 2,
    "GO:0000010": 10,
    "GO:0000011": 9,
    "GO:0000012": 6,
    "GO:0000014": 11,
    "GO:0000015": 3,
    "GO:0000016": 5,
    "GO:0000017": 8,
    "GO:0000018": 1
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.41.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}