---
license: other
base_model: facebook/opt-350m
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reward_modeling_anthropic_hh_rm1.4e-5
  results: []
---

<!-- 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_modeling_anthropic_hh_rm1.4e-5

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5955
- Accuracy: 0.6670

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1.4e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.668         | 0.1087 | 500  | 0.6707          | 0.5655   |
| 0.6238        | 0.2174 | 1000 | 0.6719          | 0.6226   |
| 0.6195        | 0.3262 | 1500 | 0.6286          | 0.6352   |
| 0.6396        | 0.4349 | 2000 | 0.6223          | 0.6521   |
| 0.6062        | 0.5436 | 2500 | 0.6223          | 0.6516   |
| 0.6312        | 0.6523 | 3000 | 0.6103          | 0.6610   |
| 0.6073        | 0.7610 | 3500 | 0.6024          | 0.6607   |
| 0.6191        | 0.8698 | 4000 | 0.5993          | 0.6676   |
| 0.6083        | 0.9785 | 4500 | 0.5955          | 0.6670   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1