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config.json
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{
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"_name_or_path": "simple_camembert_ner_all_v2/",
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"architectures": [
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"RobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 1,
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"classifier_dropout": null,
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"embedding_size": 768,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-militaire",
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"2": "B-sante"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-militaire": 1,
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"B-sante": 2,
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"O": 0
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 1025,
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"model_name": "camembertv2-base",
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_biased_input": true,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.48.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 32768
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}
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