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test_trainer
File size: 1,140 Bytes 
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{
  "_name_or_path": "camembert/camembert-base-ccnet",
  "architectures": [
    "CamembertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "[TI][Cl]",
    "1": "[TI][DO]",
    "2": "[TI][Ca]",
    "3": "[TI][RE]",
    "4": "[RI][RW]",
    "5": "[RI][RD]",
    "6": "[AG][Cc]",
    "7": "[autres]"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "[AG][Cc]": 6,
    "[RI][RD]": 5,
    "[RI][RW]": 4,
    "[TI][Ca]": 2,
    "[TI][Cl]": 0,
    "[TI][DO]": 1,
    "[TI][RE]": 3,
    "[autres]": 7
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "camembert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.34.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 32005
}