| { | |
| "_name_or_path": "laskovey/review_train3", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "emb_size": 312, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 312, | |
| "id2label": { | |
| "0": "unrelated", | |
| "1": "guide's proficiency", | |
| "2": "customer service", | |
| "3": "appraisal", | |
| "4": "refund", | |
| "5": "offer disparity", | |
| "6": "weather | advice", | |
| "7": "bland delivery", | |
| "8": "hazard", | |
| "9": "no substance", | |
| "10": "shallow narration", | |
| "11": "unmet expectations", | |
| "12": "delay", | |
| "13": "vehicle", | |
| "14": "humble route", | |
| "15": "time shortage", | |
| "16": "coordination", | |
| "17": "theme divergence", | |
| "18": "conditioning", | |
| "19": "overpriced", | |
| "20": "weather", | |
| "21": "guide's attitude", | |
| "22": "price lift", | |
| "23": "food", | |
| "24": "fact misstatement", | |
| "25": "program change", | |
| "26": "other tourists", | |
| "27": "stray", | |
| "28": "rudeness & bigotry", | |
| "29": "dirty windows", | |
| "30": "cancelation", | |
| "31": "haste" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 600, | |
| "label2id": { | |
| "appraisal": 3, | |
| "bland delivery": 7, | |
| "cancelation": 30, | |
| "conditioning": 18, | |
| "coordination": 16, | |
| "customer service": 2, | |
| "delay": 12, | |
| "dirty windows": 29, | |
| "fact misstatement": 24, | |
| "food": 23, | |
| "guide's attitude": 21, | |
| "guide's proficiency": 1, | |
| "haste": 31, | |
| "hazard": 8, | |
| "humble route": 14, | |
| "no substance": 9, | |
| "offer disparity": 5, | |
| "other tourists": 26, | |
| "overpriced": 19, | |
| "price lift": 22, | |
| "program change": 25, | |
| "refund": 4, | |
| "rudeness & bigotry": 28, | |
| "shallow narration": 10, | |
| "stray": 27, | |
| "theme divergence": 17, | |
| "time shortage": 15, | |
| "unmet expectations": 11, | |
| "unrelated": 0, | |
| "vehicle": 13, | |
| "weather": 20, | |
| "weather | advice": 6 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 2048, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 3, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 83828 | |
| } | |