| { |
| "architectures": [ |
| "BertForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "cell": {}, |
| "classifier_dropout": null, |
| "emb_size": 312, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 312, |
| "id2label": { |
| "0": "navigate", |
| "1": "create", |
| "2": "navigate " |
| }, |
| "initializer_range": 0.02, |
| "intermediate_size": 1200, |
| "label2id": { |
| "create": 1, |
| "navigate": 0, |
| "navigate ": 2 |
| }, |
| "layer_norm_eps": 1e-12, |
| "max_position_embeddings": 512, |
| "model_type": "bert", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 4, |
| "pad_token_id": 0, |
| "position_embedding_type": "absolute", |
| "pre_trained": "", |
| "problem_type": "single_label_classification", |
| "structure": [], |
| "torch_dtype": "float32", |
| "transformers_version": "4.55.0", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 30522 |
| } |
|
|
