{ "_name_or_path": "albert/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": "ANGER", "1": "ANTICIPATION", "2": "DISGUST", "3": "FEAR", "4": "JOY", "5": "LOVE", "6": "OPTIMISM", "7": "PESSIMISM", "8": "SADNESS", "9": "SURPRISE", "10": "TRUST", "11": "COMPLICATED" }, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 3072, "label2id": { "ANGER": 0, "ANTICIPATION": 1, "TRUST": 10, "COMPLICATED": 11, "DISGUST": 2, "FEAR": 3, "JOY": 4, "LOVE": 5, "OPTIMISM": 6, "PESSIMISM": 7, "SADNESS": 8, "SURPRISE": 9 }, "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": "4.40.1", "type_vocab_size": 2, "vocab_size": 30000 }