{ "_name_or_path": "albert-base-v2", "architectures": [ "AlbertForSequenceClassification" ], "attention_probs_dropout_prob": 0, "bos_token_id": 2, "classifier_dropout_prob": 0.1, "down_scale_factor": 1, "embedding_size": 128, "eos_token_id": 3, "gap_size": 0, "hidden_act": "gelu_new", "hidden_dropout_prob": 0, "hidden_size": 768, "id2label": { "0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3" }, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 3072, "label2id": { "LABEL_0": 0, "LABEL_1": 1, "LABEL_2": 2, "LABEL_3": 3 }, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "net_structure_type": 0, "num_attention_heads": 12, "num_hidden_groups": 1, "num_hidden_layers": 12, "num_memory_blocks": 0, "pad_token_id": 0, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "torch_dtype": "float32", "transformers_version": "4.45.1", "type_vocab_size": 2, "vocab_size": 30000 }