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---
license: other
base_model: facebook/opt-350m
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reward_modeling_anthropic_hh_rm1e-3
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_rm1e-3
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: 0.6931
- Accuracy: 0.9951
## 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: 0.001
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6998 | 0.1087 | 500 | 0.6931 | 0.7465 |
| 0.7074 | 0.2174 | 1000 | 0.6931 | 0.6653 |
| 0.6924 | 0.3262 | 1500 | 0.6931 | 0.7551 |
| 0.6985 | 0.4349 | 2000 | 0.6931 | 0.6347 |
| 0.6939 | 0.5436 | 2500 | 0.6931 | 0.7825 |
| 0.6978 | 0.6523 | 3000 | 0.6931 | 0.9096 |
| 0.6974 | 0.7610 | 3500 | 0.6931 | 0.9584 |
| 0.6935 | 0.8698 | 4000 | 0.6931 | 0.9607 |
| 0.6962 | 0.9785 | 4500 | 0.6931 | 0.9951 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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