| { |
| "architectures": [ |
| "BertForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.3, |
| "classifier_dropout": 0.3, |
| "directionality": "bidi", |
| "dtype": "float32", |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.3, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "c", |
| "1": "e", |
| "2": "n" |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "label2id": { |
| "c": 0, |
| "e": 1, |
| "n": 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", |
| "problem_type": "single_label_classification", |
| "transformers_version": "4.57.3", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 119547 |
| } |
|
|
