Update README.md

README.md

@@ -60,24 +60,6 @@ print(f"Correctness score: {score:.3f}")
 print(f"Prediction: {'Correct' if score > 0.5 else 'Incorrect'}")
 ```
 
-## Training Details
-
-This model was trained using the [Weaver distillation pipeline](https://github.com/HazyResearch/scaling-verification). For training your own distilled models, see the [distillation README](https://github.com/ScalingIntelligence/scaling-verification/blob/main/distillation/README.md).
-
-## Evaluation
-
-Evaluate this model using:
-
-```bash
-python evaluate_crossencoder.py \
-  --model_name "answerdotai/ModernBERT-large" \
-  --checkpoint_path "hazyresearch/Weaver_Distilled_for_MMLU-Pro" \
-  --dataset_path "hazyresearch/MMLU-Pro_with_Llama_3.1_70B_Instruct_v1" \
-  --dataset_split "data" \
-  --max_length 4096 \
-  --batch_size 64
-```
-
 ## Citation
 
 ```bibtex