config.json

{
  "_name_or_path": "/kaggle/input/longformer-finetuned-multi-class-analysis/transformers/default/1",
  "architectures": [
    "LongformerForSequenceClassification"
  ],
  "attention_mode": "longformer",
  "attention_probs_dropout_prob": 0.1,
  "attention_window": [
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512,
    512
  ],
  "bos_token_id": 0,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "A",
    "1": "B",
    "2": "C",
    "3": "D",
    "4": "E",
    "5": "F",
    "6": "G",
    "7": "H",
    "8": "I",
    "9": "J",
    "10": "L",
    "11": "M",
    "12": "N",
    "13": "Z"
  },
  "ignore_attention_mask": false,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "A": 0,
    "B": 1,
    "C": 2,
    "D": 3,
    "E": 4,
    "F": 5,
    "G": 6,
    "H": 7,
    "I": 8,
    "J": 9,
    "L": 10,
    "M": 11,
    "N": 12,
    "Z": 13
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 4098,
  "model_type": "longformer",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "onnx_export": false,
  "pad_token_id": 1,
  "problem_type": "multi_label_classification",
  "sep_token_id": 2,
  "torch_dtype": "float32",
  "transformers_version": "4.44.2",
  "type_vocab_size": 1,
  "vocab_size": 50265
}