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# reward-model-v3

This model is a fine-tuned version of [ChaiML/reward_models_100_170000000_cp_498032](https://huggingface.co/ChaiML/reward_models_100_170000000_cp_498032) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5182

## 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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 7
- gradient_accumulation_steps: 16
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.534         | 1.0   | 417  | 0.5333          |
| 0.4919        | 2.0   | 834  | 0.5192          |
| 0.4681        | 3.0   | 1251 | 0.5182          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "ChaiML/reward_models_100_170000000_cp_498032", "model-index": [{"name": "reward-model-v3", "results": []}]}
transformers safetensors gpt2 text-classification generated_from_trainer base_model:ChaiML/reward_models_100_170000000_cp_498032 autotrain_compatible endpoints_compatible text-generation-inference region:us