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bert-finetuned-ner-FL

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
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bert-finetuned-ner-FL
File size: 1,517 Bytes 
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{
  "_name_or_path": "bert-base-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "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": "O",
    "1": "X",
    "2": "B-MethodName",
    "3": "I-MethodName",
    "4": "B-HyperparameterName",
    "5": "I-HyperparameterName",
    "6": "B-HyperparameterValue",
    "7": "I-HyperparameterValue",
    "8": "B-MetricName",
    "9": "I-MetricName",
    "10": "B-MetricValue",
    "11": "I-MetricValue",
    "12": "B-TaskName",
    "13": "I-TaskName",
    "14": "B-DatasetName",
    "15": "I-DatasetName"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-DatasetName": 14,
    "B-HyperparameterName": 4,
    "B-HyperparameterValue": 6,
    "B-MethodName": 2,
    "B-MetricName": 8,
    "B-MetricValue": 10,
    "B-TaskName": 12,
    "I-DatasetName": 15,
    "I-HyperparameterName": 5,
    "I-HyperparameterValue": 7,
    "I-MethodName": 3,
    "I-MetricName": 9,
    "I-MetricValue": 11,
    "I-TaskName": 13,
    "O": 0,
    "X": 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",
  "torch_dtype": "float32",
  "transformers_version": "4.34.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}