| { | |
| "_name_or_path": "bert-base-cased", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "filter_bookmark", | |
| "1": "filter_rated", | |
| "2": "filter_not_tried", | |
| "3": "filter_recently_opened", | |
| "4": "filter_current_user", | |
| "5": "filter_friends", | |
| "6": "filter_specific_users", | |
| "7": "sort_match_score", | |
| "8": "sort_popular", | |
| "9": "sort_rating", | |
| "10": "sort_relevance", | |
| "11": "sort_recent", | |
| "12": "sort_current_user", | |
| "13": "sort_friends", | |
| "14": "sort_specific_users", | |
| "15": "sort_descending", | |
| "16": "sort_ascending" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "filter_bookmark": 0, | |
| "filter_current_user": 4, | |
| "filter_friends": 5, | |
| "filter_not_tried": 2, | |
| "filter_rated": 1, | |
| "filter_recently_opened": 3, | |
| "filter_specific_users": 6, | |
| "sort_ascending": 16, | |
| "sort_current_user": 12, | |
| "sort_descending": 15, | |
| "sort_friends": 13, | |
| "sort_match_score": 7, | |
| "sort_popular": 8, | |
| "sort_rating": 9, | |
| "sort_recent": 11, | |
| "sort_relevance": 10, | |
| "sort_specific_users": 14 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "multi_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.21.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 28996 | |
| } | |