---
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
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# 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