KThellez/mi_modelo

1{2  "_name_or_path": "google-bert/bert-base-multilingual-cased",3  "architectures": [4    "BertForSequenceClassification"5  ],6  "attention_probs_dropout_prob": 0.1,7  "classifier_dropout": null,8  "directionality": "bidi",9  "hidden_act": "gelu",10  "hidden_dropout_prob": 0.1,11  "hidden_size": 768,12  "id2label": {13    "0": "LABEL_0",14    "1": "LABEL_1",15    "2": "LABEL_2",16    "3": "LABEL_3",17    "4": "LABEL_4"18  },19  "initializer_range": 0.02,20  "intermediate_size": 3072,21  "label2id": {22    "LABEL_0": 0,23    "LABEL_1": 1,24    "LABEL_2": 2,25    "LABEL_3": 3,26    "LABEL_4": 427  },28  "layer_norm_eps": 1e-12,29  "max_position_embeddings": 512,30  "model_type": "bert",31  "num_attention_heads": 12,32  "num_hidden_layers": 12,33  "pad_token_id": 0,34  "pooler_fc_size": 768,35  "pooler_num_attention_heads": 12,36  "pooler_num_fc_layers": 3,37  "pooler_size_per_head": 128,38  "pooler_type": "first_token_transform",39  "position_embedding_type": "absolute",40  "problem_type": "single_label_classification",41  "torch_dtype": "float32",42  "transformers_version": "4.44.2",43  "type_vocab_size": 2,44  "use_cache": true,45  "vocab_size": 11954746}47