{ "_name_or_path": "model_trained/tinybert", "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "cell": {}, "classifier_dropout": null, "emb_size": 312, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 312, "id2label": { "0": "account", "1": "atm", "2": "card", "3": "credit_card", "4": "current_account", "5": "debit_card", "6": "fixed_deposit", "7": "forex_account", "8": "loan", "9": "mobile_app", "10": "others", "11": "savings_account", "12": "website" }, "initializer_range": 0.02, "intermediate_size": 1200, "label2id": { "account": 0, "atm": 1, "card": 2, "credit_card": 3, "current_account": 4, "debit_card": 5, "fixed_deposit": 6, "forex_account": 7, "loan": 8, "mobile_app": 9, "others": 10, "savings_account": 11, "website": 12 }, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 4, "pad_token_id": 0, "position_embedding_type": "absolute", "pre_trained": "", "problem_type": "single_label_classification", "structure": [], "torch_dtype": "float32", "transformers_version": "4.45.2", "type_vocab_size": 2, "use_cache": true, "vocab_size": 30522 }