| { |
| "_name_or_path": "Health/Robust-Clinical-Risk-Detector", |
| "architectures": [ |
| "DistilBertForSequenceClassification" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "max_position_embeddings": 512, |
| "model_type": "distilbert", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 6, |
| "pad_token_id": 0, |
| "sinusoidal_pos_embds": false, |
| "vocab_size": 28996, |
| "id2label": { |
| "0": "RISK: LOW", |
| "1": "RISK: HIGH", |
| "2": "ATTACK: DETECTED" |
| }, |
| "label2id": { |
| "RISK: LOW": 0, |
| "RISK: HIGH": 1, |
| "ATTACK: DETECTED": 2 |
| }, |
| "num_labels": 3, |
| "problem_type": "single_label_classification", |
| "robustness_tuning_method": "focal_loss_with_attack_injection", |
| "transformers_version": "4.35.0" |
| } |
