Text Classification
Transformers
PyTorch
English
bert
QA
Inference Endpoints
File size: 1,392 Bytes
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{
  "_name_or_path": "bert-base-uncased",
  "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": "boolq",
    "1": "commonsense_qa",
    "2": "drop",
    "3": "duorc",
    "4": "hellaswag",
    "5": "hotpot_qa",
    "6": "hybrid_qa",
    "7": "narrativeqa",
    "8": "natural_questions",
    "9": "newsqa",
    "10": "biu-nlp/qamr",
    "11": "race",
    "12": "search_qa",
    "13": "social_i_qa",
    "14": "squad",
    "15": "trivia_qa"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "boolq": 0,
    "commonsense_qa": 1,
    "biu-nlp/qamr": 10,
    "race": 11,
    "search_qa": 12,
    "social_i_qa": 13,
    "squad": 14,
    "trivia_qa": 15,
    "drop": 2,
    "duorc": 3,
    "hellaswag": 4,
    "hotpot_qa": 5,
    "hybrid_qa": 6,
    "narrativeqa": 7,
    "natural_questions": 8,
    "newsqa": 9
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.23.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}