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bert-paper-classifier

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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1
bert-paper-classifier
File size: 2,475 Bytes 
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{
  "_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "anesthesiology",
    "1": "biochemistry",
    "2": "bioinformatics",
    "3": "cancer",
    "4": "cardiology",
    "5": "chemistry",
    "6": "computation",
    "7": "dermatology",
    "8": "ecology",
    "9": "education",
    "10": "engineering",
    "11": "environment",
    "12": "ethics",
    "13": "genetics",
    "14": "gynecology",
    "15": "healthcare",
    "16": "immunology",
    "17": "infectious",
    "18": "material",
    "19": "microbiology",
    "20": "neurology",
    "21": "neuroscience",
    "22": "nursing",
    "23": "nutrition",
    "24": "ophthalmology",
    "25": "optics",
    "26": "pathology",
    "27": "pediatric",
    "28": "pharmacology",
    "29": "physics",
    "30": "physiology",
    "31": "psychiatry",
    "32": "psychology",
    "33": "radiology",
    "34": "rehabilitation",
    "35": "surgery",
    "36": "veterinary",
    "37": "virology"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "anesthesiology": 0,
    "biochemistry": 1,
    "bioinformatics": 2,
    "cancer": 3,
    "cardiology": 4,
    "chemistry": 5,
    "computation": 6,
    "dermatology": 7,
    "ecology": 8,
    "education": 9,
    "engineering": 10,
    "environment": 11,
    "ethics": 12,
    "genetics": 13,
    "gynecology": 14,
    "healthcare": 15,
    "immunology": 16,
    "infectious": 17,
    "material": 18,
    "microbiology": 19,
    "neurology": 20,
    "neuroscience": 21,
    "nursing": 22,
    "nutrition": 23,
    "ophthalmology": 24,
    "optics": 25,
    "pathology": 26,
    "pediatric": 27,
    "pharmacology": 28,
    "physics": 29,
    "physiology": 30,
    "psychiatry": 31,
    "psychology": 32,
    "radiology": 33,
    "rehabilitation": 34,
    "surgery": 35,
    "veterinary": 36,
    "virology": 37
  },
  "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": "4.28.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}