---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: reward_model
  results: []
---

<!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0027

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1158        | 1.0   | 37   | 0.0163          |
| 0.0196        | 2.0   | 74   | 0.0118          |
| 0.013         | 3.0   | 111  | 0.0075          |
| 0.0075        | 4.0   | 148  | 0.0049          |
| 0.006         | 5.0   | 185  | 0.0037          |
| 0.0049        | 6.0   | 222  | 0.0035          |
| 0.0054        | 7.0   | 259  | 0.0035          |
| 0.0041        | 8.0   | 296  | 0.0023          |
| 0.0033        | 9.0   | 333  | 0.0023          |
| 0.004         | 10.0  | 370  | 0.0027          |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0