config.json

{
  "_name_or_path": "jam15/bert-finetuned-combineP5",
  "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": "loc1lay1",
    "1": "loc1lay2",
    "10": "loc3lay3",
    "11": "loc3lay4",
    "12": "loc4lay1",
    "13": "loc4lay2",
    "14": "loc4lay3",
    "15": "loc4lay4",
    "16": "loc5+",
    "17": "loc1",
    "18": "loc2",
    "19": "loc3",
    "2": "loc1lay3",
    "20": "loc4",
    "21": "nfw",
    "22": "tfw",
    "23": "tfwc",
    "24": "tfwp",
    "25": "fwb",
    "26": "lay1",
    "27": "lay2",
    "28": "lay3",
    "29": "lay4",
    "3": "loc1lay4",
    "4": "loc2lay1",
    "5": "loc2lay2",
    "6": "loc2lay3",
    "7": "loc2lay4",
    "8": "loc3lay1",
    "9": "loc3lay2"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "fwb": 25,
    "lay1": 26,
    "lay2": 27,
    "lay3": 28,
    "lay4": 29,
    "loc1": 17,
    "loc1lay1": 0,
    "loc1lay2": 1,
    "loc1lay3": 2,
    "loc1lay4": 3,
    "loc2": 18,
    "loc2lay1": 4,
    "loc2lay2": 5,
    "loc2lay3": 6,
    "loc2lay4": 7,
    "loc3": 19,
    "loc3lay1": 8,
    "loc3lay2": 9,
    "loc3lay3": 10,
    "loc3lay4": 11,
    "loc4": 20,
    "loc4lay1": 12,
    "loc4lay2": 13,
    "loc4lay3": 14,
    "loc4lay4": 15,
    "loc5+": 16,
    "nfw": 21,
    "tfw": 22,
    "tfwc": 23,
    "tfwp": 24
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.41.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}