bert-finetuned-ner / config.json
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{
"_name_or_path": "Jean-Baptiste/camembert-ner",
"architectures": [
"CamembertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 5,
"classifier_dropout": null,
"eos_token_id": 6,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-date",
"1": "I-date",
"2": "B-duration",
"3": "I-duration",
"4": "B-problem",
"5": "I-problem",
"6": "B-treatment",
"7": "I-treatment",
"8": "B-test",
"9": "I-test",
"10": "B-frequency",
"11": "I-frequency",
"12": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-date": 0,
"B-duration": 2,
"B-frequency": 10,
"B-problem": 4,
"B-test": 8,
"B-treatment": 6,
"I-date": 1,
"I-duration": 3,
"I-frequency": 11,
"I-problem": 5,
"I-test": 9,
"I-treatment": 7,
"O": 12
},
"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",
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 32005
}