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Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Inference Endpoints
Model card Files Community
MBTI-twitter
File size: 1,269 Bytes 
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{
  "_name_or_path": "AutoTrain",
  "_num_labels": 16,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "0",
    "1": "1",
    "2": "10",
    "3": "11",
    "4": "12",
    "5": "13",
    "6": "14",
    "7": "15",
    "8": "2",
    "9": "3",
    "10": "4",
    "11": "5",
    "12": "6",
    "13": "7",
    "14": "8",
    "15": "9"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "0": 0,
    "1": 1,
    "10": 2,
    "11": 3,
    "12": 4,
    "13": 5,
    "14": 6,
    "15": 7,
    "2": 8,
    "3": 9,
    "4": 10,
    "5": 11,
    "6": 12,
    "7": 13,
    "8": 14,
    "9": 15
  },
  "layer_norm_eps": 1e-12,
  "max_length": 512,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.15.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}