ExecuteAutomation/bert-base-text-classification-model
012
1{2 "_name_or_path": "bert-base-uncased",3 "architectures": [4 "BertForSequenceClassification"5 ],6 "attention_probs_dropout_prob": 0.1,7 "classifier_dropout": null,8 "gradient_checkpointing": false,9 "hidden_act": "gelu",10 "hidden_dropout_prob": 0.1,11 "hidden_size": 768,12 "id2label": {13 "0": "sadness",14 "1": "joy",15 "2": "love",16 "3": "anger",17 "4": "fear",18 "5": "surprise"19 },20 "initializer_range": 0.02,21 "intermediate_size": 3072,22 "label2id": {23 "anger": 3,24 "fear": 4,25 "joy": 1,26 "love": 2,27 "sadness": 0,28 "surprise": 529 },30 "layer_norm_eps": 1e-12,31 "max_position_embeddings": 512,32 "model_type": "bert",33 "num_attention_heads": 12,34 "num_hidden_layers": 12,35 "pad_token_id": 0,36 "position_embedding_type": "absolute",37 "problem_type": "single_label_classification",38 "torch_dtype": "float32",39 "transformers_version": "4.48.0",40 "type_vocab_size": 2,41 "use_cache": true,42 "vocab_size": 3052243}44 