Update model card

README.md

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+---
+license: apache-2.0
+base_model: FacebookAI/roberta-large
+library_name: transformers
+pipeline_tag: text-classification
+tags:
+- roberta
+- safety
+- judge
+- probguard
+- calibeval
+---
+
+# CalibEval
+
+CalibEval is a RoBERTa-large sequence-classification safety judge used by ProbGuard to label sampled continuations during calibration and evaluation.
+
+## Usage
+
+```python
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+repo_id = "hxz-sec/CalibEval"
+tokenizer = AutoTokenizer.from_pretrained(repo_id)
+model = AutoModelForSequenceClassification.from_pretrained(repo_id)
+```
+
+The model outputs two labels for safety classification. In the EarlyGuard evaluation scripts, the unsafe probability is read from the positive class and thresholded at `0.5` by default.