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pucpr-br
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tempclin-biobertpt-all

Token Classification
Transformers
PyTorch
Portuguese
bert
Inference Endpoints
Model card Files Community
1
tempclin-biobertpt-all
File size: 1,545 Bytes 
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{
  "_name_or_path": "pucpr/biobertpt-all",
  "_num_labels": 2,
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "eos_token_ids": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Tratamento",
    "1": "I-Teste",
    "2": "I-Ocorrencia",
    "3": "B-Evidencia",
    "4": "B-Teste",
    "5": "I-Problema",
    "6": "B-DepartamentoClinico",
    "7": "O",
    "8": "I-Tratamento",
    "9": "B-Ocorrencia",
    "10": "B-Problema",
    "11": "I-DepartamentoClinico",
    "12": "<pad>"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "<pad>": 12,
    "B-DepartamentoClinico": 6,
    "B-Evidencia": 3,
    "B-Ocorrencia": 9,
    "B-Problema": 10,
    "B-Teste": 4,
    "B-Tratamento": 0,
    "I-DepartamentoClinico": 11,
    "I-Ocorrencia": 2,
    "I-Problema": 5,
    "I-Teste": 1,
    "I-Tratamento": 8,
    "O": 7
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": null,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.21.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}