{ "_name_or_path": "vinai/phobert-base-v2", "architectures": [ "RobertaForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "In gi\u1ea5y ho\u00e3n ngh\u0129a v\u1ee5", "1": "Nh\u1eadp k\u1ebf ho\u1ea1ch h\u1ecdc t\u1eadp", "2": "\u0110\u0103ng k\u00fd h\u1ecdc ph\u1ea7n" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "In gi\u1ea5y ho\u00e3n ngh\u0129a v\u1ee5": 0, "Nh\u1eadp k\u1ebf ho\u1ea1ch h\u1ecdc t\u1eadp": 1, "\u0110\u0103ng k\u00fd h\u1ecdc ph\u1ea7n": 2 }, "layer_norm_eps": 1e-05, "max_position_embeddings": 258, "model_type": "roberta", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 1, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "tokenizer_class": "PhobertTokenizer", "torch_dtype": "float32", "transformers_version": "4.36.2", "type_vocab_size": 1, "use_cache": true, "vocab_size": 64001 }