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Reward_model

This model is a fine-tuned version of OpenAssistant/reward-model-deberta-v3-base on Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6931
  • Accuracy: 1.0

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 12
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6936 1.0 13400 0.6931 1.0

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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