test_trainer / config.json
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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
}