{ "_name_or_path": "ckiplab/albert-base-chinese", "architectures": [ "AlbertForSequenceClassification" ], "attention_probs_dropout_prob": 0, "bos_token_id": 101, "classifier_dropout_prob": 0.1, "down_scale_factor": 1, "embedding_size": 128, "eos_token_id": 102, "gap_size": 0, "hidden_act": "relu", "hidden_dropout_prob": 0, "hidden_size": 768, "id2label": { "0": "anger", "1": "anticipation", "2": "disgust", "3": "fear", "4": "joy", "5": "love", "6": "optimism", "7": "pessimism", "8": "sadness", "9": "surprise", "10": "trust" }, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 3072, "label2id": { "anger": 0, "anticipation": 1, "disgust": 2, "fear": 3, "joy": 4, "love": 5, "optimism": 6, "pessimism": 7, "sadness": 8, "surprise": 9, "trust": 10 }, "layer_norm_eps": 1e-12, "layers_to_keep": [], "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": "multi_label_classification", "tokenizer_class": "BertTokenizerFast", "torch_dtype": "float32", "transformers_version": "4.35.2", "type_vocab_size": 2, "vocab_size": 21128 }