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---
license: mit
tags:
- trl
- reward-trainer
- generated_from_trainer
base_model: OpenAssistant/reward-model-deberta-v3-base
metrics:
- accuracy
model-index:
- name: Reward_model
results: []
datasets:
- Anthropic/hh-rlhf
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Reward_model
This model is a fine-tuned version of [OpenAssistant/reward-model-deberta-v3-base](https://huggingface.co/OpenAssistant/reward-model-deberta-v3-base) on [Anthropic/hh-rlhf](https://huggingface.co/datasets/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 |