| { |
| "add_cross_attention": false, |
| "architectures": [ |
| "BertForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "bos_token_id": null, |
| "classifier_dropout": null, |
| "directionality": "bidi", |
| "dtype": "float32", |
| "eos_token_id": null, |
| "gradient_checkpointing": false, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "\u0623\u062c\u0647\u0632\u0629 \u0648\u0647\u0648\u0627\u062a\u0641 \u0630\u0643\u064a\u0629", |
| "1": "\u0634\u0631\u0643\u0627\u062a \u0627\u0644\u0627\u062a\u0635\u0627\u0644\u0627\u062a", |
| "2": "\u0641\u0639\u0627\u0644\u064a\u0627\u062a \u062a\u0642\u0646\u064a\u0629" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "is_decoder": false, |
| "label2id": { |
| "\u0623\u062c\u0647\u0632\u0629 \u0648\u0647\u0648\u0627\u062a\u0641 \u0630\u0643\u064a\u0629": 0, |
| "\u0634\u0631\u0643\u0627\u062a \u0627\u0644\u0627\u062a\u0635\u0627\u0644\u0627\u062a": 1, |
| "\u0641\u0639\u0627\u0644\u064a\u0627\u062a \u062a\u0642\u0646\u064a\u0629": 2 |
| }, |
| "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", |
| "tie_word_embeddings": true, |
| "transformers_version": "5.0.0", |
| "type_vocab_size": 2, |
| "use_cache": false, |
| "vocab_size": 100000 |
| } |
|
|
