| { | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "*1", | |
| "1": "*2", | |
| "2": "*3", | |
| "3": "*4", | |
| "4": "*5", | |
| "5": "*6", | |
| "6": "*8", | |
| "7": "Recharge normale", | |
| "8": "autre" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "label2id": { | |
| "*1": 0, | |
| "*2": 1, | |
| "*3": 2, | |
| "*4": 3, | |
| "*5": 4, | |
| "*6": 5, | |
| "*8": 6, | |
| "Recharge normale": 7, | |
| "autre": 8 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.50.3", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 64000 | |
| } | |