| { |
| "_name_or_path": "AutoTrain", |
| "_num_labels": 6, |
| "architectures": [ |
| "BertForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "\u305d\u306e\u4ed6", |
| "1": "\u30d7\u30ed\u30bb\u30b9\u306e\u8907\u96d1\u3055", |
| "2": "\u30de\u30a4\u30ca\u30f3\u30d0\u30fc\u30ab\u30fc\u30c9\u95a2\u9023\u306e\u624b\u7d9a\u304d", |
| "3": "\u57fa\u6e96\u30fb\u65b9\u6cd5\u304c\u4e0d\u660e\u77ad", |
| "4": "\u66f8\u985e\u306e\u63d0\u51fa/\u53d7\u9818\u30bf\u30a4\u30df\u30f3\u30b0", |
| "5": "\u7d19\u5a92\u4f53\u3067\u306e\u63d0\u51fa" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "label2id": { |
| "\u305d\u306e\u4ed6": 0, |
| "\u30d7\u30ed\u30bb\u30b9\u306e\u8907\u96d1\u3055": 1, |
| "\u30de\u30a4\u30ca\u30f3\u30d0\u30fc\u30ab\u30fc\u30c9\u95a2\u9023\u306e\u624b\u7d9a\u304d": 2, |
| "\u57fa\u6e96\u30fb\u65b9\u6cd5\u304c\u4e0d\u660e\u77ad": 3, |
| "\u66f8\u985e\u306e\u63d0\u51fa/\u53d7\u9818\u30bf\u30a4\u30df\u30f3\u30b0": 4, |
| "\u7d19\u5a92\u4f53\u3067\u306e\u63d0\u51fa": 5 |
| }, |
| "layer_norm_eps": 1e-12, |
| "max_length": 128, |
| "max_position_embeddings": 512, |
| "model_type": "bert", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 12, |
| "pad_token_id": 0, |
| "padding": "max_length", |
| "position_embedding_type": "absolute", |
| "problem_type": "single_label_classification", |
| "tokenizer_class": "BertJapaneseTokenizer", |
| "torch_dtype": "float32", |
| "transformers_version": "4.25.1", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 32000 |
| } |
|
|
