| { | |
| "_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" | |
| } |