{ | |
"_name_or_path": "CAMeL-Lab/bert-base-arabic-camelbert-da", | |
"architectures": [ | |
"BertForSequenceClassification" | |
], | |
"attention_probs_dropout_prob": 0.1, | |
"classifier_dropout": null, | |
"gradient_checkpointing": false, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.1, | |
"hidden_size": 768, | |
"id2label": { | |
"0": "*6", | |
"1": "autre", | |
"2": "*4", | |
"3": "*7", | |
"4": "Recharge normale", | |
"5": "*1" | |
}, | |
"initializer_range": 0.02, | |
"intermediate_size": 3072, | |
"label2id": { | |
"*1": "5", | |
"*4": "2", | |
"*6": "0", | |
"*7": "3", | |
"Recharge normale": "4", | |
"autre": "1" | |
}, | |
"layer_norm_eps": 1e-12, | |
"max_position_embeddings": 512, | |
"model_type": "bert", | |
"num_attention_heads": 12, | |
"num_hidden_layers": 12, | |
"pad_token_id": 0, | |
"position_embedding_type": "absolute", | |
"problem_type": "single_label_classification", | |
"torch_dtype": "float32", | |
"transformers_version": "4.41.2", | |
"type_vocab_size": 2, | |
"use_cache": true, | |
"vocab_size": 30000 | |
} | |