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hf_trainer

Text Classification
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distilbert
Generated from Trainer
text-embeddings-inference
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hf_trainer
File size: 1,039 Bytes
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{
  "_name_or_path": "distilbert-base-multilingual-cased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "wine",
    "1": "food",
    "2": "spirits",
    "3": "beer",
    "4": "cocktail",
    "5": "soft drink",
    "6": "sake",
    "7": "coffee",
    "8": "tea",
    "9": "other"
  },
  "initializer_range": 0.02,
  "label2id": {
    "beer": 3,
    "cocktail": 4,
    "coffee": 7,
    "food": 1,
    "other": 9,
    "sake": 6,
    "soft drink": 5,
    "spirits": 2,
    "tea": 8,
    "wine": 0
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "output_past": true,
  "pad_token_id": 0,
  "problem_type": "multi_label_classification",
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.22.1",
  "vocab_size": 119547
}