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Update README.md

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@@ -57,6 +57,4 @@ This model is trained by OpenRLHF.
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  model.eval().to("cuda")
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  ```
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- 8. The model is trained and saved using FP32. The accuracy on test dataset is:
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- - With FP32, the accuracy is:
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- - With BF16, the accuracy is:
 
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  model.eval().to("cuda")
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  ```
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+ 8. Test accuracy: 0.764425, chosen reward: -0.032832, reject reward: -1.620852