{ "_name_or_path": "google-bert/bert-base-cased", "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": "anger", "1": "disgust", "2": "fear", "3": "joy", "4": "sadness", "5": "surprise", "6": "trust", "7": "anticipation", "8": "neutral" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "anger": 0, "disgust": 1, "fear": 2, "joy": 3, "sadness": 4, "surprise": 5, "trust": 6, "anticipation": 7, "neutral": 8 }, "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": 28996 }