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20newsgroup-320b5d8f-fa84-4c63-8e96-1be906c81365

Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
Inference Endpoints
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20newsgroup-320b5d8f-fa84-4c63-8e96-1be906c81365
File size: 1,360 Bytes 
0a70679
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "google-bert/bert-base-uncased",
  "_num_labels": 20,
  "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": "18",
    "1": "10",
    "2": "3",
    "3": "16",
    "4": "19",
    "5": "14",
    "6": "8",
    "7": "9",
    "8": "12",
    "9": "0",
    "10": "5",
    "11": "7",
    "12": "13",
    "13": "11",
    "14": "1",
    "15": "6",
    "16": "15",
    "17": "2",
    "18": "17",
    "19": "4"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "0": 9,
    "1": 14,
    "10": 1,
    "11": 13,
    "12": 8,
    "13": 12,
    "14": 5,
    "15": 16,
    "16": 3,
    "17": 18,
    "18": 0,
    "19": 4,
    "2": 17,
    "3": 2,
    "4": 19,
    "5": 10,
    "6": 15,
    "7": 11,
    "8": 6,
    "9": 7
  },
  "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": "4.40.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}