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# reward_model

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7183
- Accuracy: 0.45

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.01  | 50   | 0.6941          | 0.49     |
| No log        | 0.02  | 100  | 0.7068          | 0.44     |
| No log        | 0.03  | 150  | 0.6991          | 0.47     |
| No log        | 0.04  | 200  | 0.6954          | 0.5      |
| No log        | 0.05  | 250  | 0.6957          | 0.55     |
| No log        | 0.06  | 300  | 0.6958          | 0.5      |
| No log        | 0.07  | 350  | 0.7203          | 0.45     |
| No log        | 0.08  | 400  | 0.7129          | 0.47     |
| No log        | 0.09  | 450  | 0.7197          | 0.45     |
| 0.6877        | 0.1   | 500  | 0.7183          | 0.45     |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilroberta-base", "model-index": [{"name": "reward_model", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:distilroberta-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us