| { |
| "architectures": [ |
| "BertForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "directionality": "bidi", |
| "dtype": "float32", |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "Bi\u1ec3u hi\u1ec7n l\u00e2m s\u00e0ng ch\u01b0a ph\u00e2n lo\u1ea1i.", |
| "1": "Bi\u1ec3u hi\u1ec7n: nhi\u1ec5m tr\u00f9ng.", |
| "2": "Bi\u1ec3u hi\u1ec7n: tim m\u1ea1ch.", |
| "3": "B\u1ec7nh l\u00fd n\u1ed9i khoa m\u00e3n t\u00ednh", |
| "4": "Ch\u1ea5n th\u01b0\u01a1ng / Ngo\u1ea1i khoa", |
| "5": "H\u1ed9i ch\u1ee9ng: h\u00f4 h\u1ea5p", |
| "6": "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1", |
| "7": "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1 tr\u00ean." |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "label2id": { |
| "Bi\u1ec3u hi\u1ec7n l\u00e2m s\u00e0ng ch\u01b0a ph\u00e2n lo\u1ea1i.": 0, |
| "Bi\u1ec3u hi\u1ec7n: nhi\u1ec5m tr\u00f9ng.": 1, |
| "Bi\u1ec3u hi\u1ec7n: tim m\u1ea1ch.": 2, |
| "B\u1ec7nh l\u00fd n\u1ed9i khoa m\u00e3n t\u00ednh": 3, |
| "Ch\u1ea5n th\u01b0\u01a1ng / Ngo\u1ea1i khoa": 4, |
| "H\u1ed9i ch\u1ee9ng: h\u00f4 h\u1ea5p": 5, |
| "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1": 6, |
| "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1 tr\u00ean.": 7 |
| }, |
| "layer_norm_eps": 1e-12, |
| "max_position_embeddings": 512, |
| "model_type": "bert", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 12, |
| "pad_token_id": 0, |
| "pooler_fc_size": 768, |
| "pooler_num_attention_heads": 12, |
| "pooler_num_fc_layers": 3, |
| "pooler_size_per_head": 128, |
| "pooler_type": "first_token_transform", |
| "position_embedding_type": "absolute", |
| "problem_type": "single_label_classification", |
| "transformers_version": "4.57.3", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 119547 |
| } |
|
|
