---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-4-layer-swag-distill-of-fresh-4-layer-gpqa
  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. -->

# fresh-4-layer-swag-distill-of-fresh-4-layer-gpqa

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.8632
- Accuracy: 0.4293

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 13.8015         | 0.2778   |
| No log        | 2.0   | 250  | 14.0268         | 0.3535   |
| No log        | 3.0   | 375  | 13.0123         | 0.3838   |
| 1.8616        | 4.0   | 500  | 12.3288         | 0.3535   |
| 1.8616        | 5.0   | 625  | 12.1718         | 0.3737   |
| 1.8616        | 6.0   | 750  | 12.7654         | 0.3889   |
| 1.8616        | 7.0   | 875  | 12.6711         | 0.3838   |
| 0.4769        | 8.0   | 1000 | 12.0719         | 0.4141   |
| 0.4769        | 9.0   | 1125 | 11.8960         | 0.4091   |
| 0.4769        | 10.0  | 1250 | 12.0726         | 0.4192   |
| 0.4769        | 11.0  | 1375 | 11.8632         | 0.4293   |
| 0.1853        | 12.0  | 1500 | 11.6135         | 0.4141   |
| 0.1853        | 13.0  | 1625 | 12.2307         | 0.4141   |
| 0.1853        | 14.0  | 1750 | 11.7646         | 0.4040   |
| 0.1853        | 15.0  | 1875 | 11.6897         | 0.4141   |
| 0.0913        | 16.0  | 2000 | 12.0394         | 0.4091   |
| 0.0913        | 17.0  | 2125 | 11.7915         | 0.4040   |
| 0.0913        | 18.0  | 2250 | 12.0047         | 0.3990   |
| 0.0913        | 19.0  | 2375 | 11.9798         | 0.3939   |
| 0.0436        | 20.0  | 2500 | 12.0208         | 0.4040   |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0