| { |
| "_name_or_path": "google-bert/bert-base-uncased", |
| "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": "C\u00f4ng ngh\u1ec7", |
| "1": "Gi\u00e1o d\u1ee5c", |
| "10": "Xe c\u1ed9", |
| "11": "X\u00e3 h\u1ed9i", |
| "12": "\u0110\u1eddi s\u1ed1ng", |
| "2": "Gi\u1ea3i tr\u00ed", |
| "3": "Khoa h\u1ecdc", |
| "4": "Kinh t\u1ebf", |
| "5": "Nh\u00e0 \u0111\u1ea5t", |
| "6": "Ph\u00e1p lu\u1eadt", |
| "7": "Th\u1ebf gi\u1edbi", |
| "8": "Th\u1ec3 thao", |
| "9": "V\u0103n h\u00f3a" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "label2id": { |
| "C\u00f4ng ngh\u1ec7": "0", |
| "Gi\u00e1o d\u1ee5c": "1", |
| "Gi\u1ea3i tr\u00ed": "2", |
| "Khoa h\u1ecdc": "3", |
| "Kinh t\u1ebf": "4", |
| "Nh\u00e0 \u0111\u1ea5t": "5", |
| "Ph\u00e1p lu\u1eadt": "6", |
| "Th\u1ebf gi\u1edbi": "7", |
| "Th\u1ec3 thao": "8", |
| "V\u0103n h\u00f3a": "9", |
| "Xe c\u1ed9": "10", |
| "X\u00e3 h\u1ed9i": "11", |
| "\u0110\u1eddi s\u1ed1ng": "12" |
| }, |
| "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": "single_label_classification", |
| "torch_dtype": "float32", |
| "transformers_version": "4.48.0.dev0", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 30522 |
| } |
|
|
