| { | |
| "_name_or_path": "laskovey/review_train2", | |
| "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": "customer service", | |
| "1": "delay", | |
| "2": "unmet expectations", | |
| "3": "vehicle", | |
| "4": "overpriced", | |
| "5": "cancelation", | |
| "6": "offer disparity", | |
| "7": "hazard", | |
| "8": "coordination", | |
| "9": "no substance", | |
| "10": "conditioning", | |
| "11": "bland delivery", | |
| "12": "guide's attitude", | |
| "13": "time shortage", | |
| "14": "humble route", | |
| "15": "theme divergence", | |
| "16": "unrelated", | |
| "17": "guide's proficiency", | |
| "18": "weather", | |
| "19": "refund", | |
| "20": "weather | advice", | |
| "21": "program change", | |
| "22": "price lift", | |
| "23": "haste", | |
| "24": "bigotry", | |
| "25": "dirty windows", | |
| "26": "other tourists", | |
| "27": "rudeness", | |
| "28": "shallow narration", | |
| "29": "fact misstatement" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 600, | |
| "label2id": { | |
| "bigotry": 24, | |
| "bland delivery": 11, | |
| "cancelation": 5, | |
| "conditioning": 10, | |
| "coordination": 8, | |
| "customer service": 0, | |
| "delay": 1, | |
| "dirty windows": 25, | |
| "fact misstatement": 29, | |
| "guide's attitude": 12, | |
| "guide's proficiency": 17, | |
| "haste": 23, | |
| "hazard": 7, | |
| "humble route": 14, | |
| "no substance": 9, | |
| "offer disparity": 6, | |
| "other tourists": 26, | |
| "overpriced": 4, | |
| "price lift": 22, | |
| "program change": 21, | |
| "refund": 19, | |
| "rudeness": 27, | |
| "shallow narration": 28, | |
| "theme divergence": 15, | |
| "time shortage": 13, | |
| "unmet expectations": 2, | |
| "unrelated": 16, | |
| "vehicle": 3, | |
| "weather": 18, | |
| "weather | advice": 20 | |
| }, | |
| "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": "4.39.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 83828 | |
| } | |