---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-8-layer-swag-distill-of-fresh-8-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-8-layer-swag-distill-of-fresh-8-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: 22.9598
- Accuracy: 0.4040

## 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   | 63   | 22.7715         | 0.2677   |
| No log        | 2.0   | 126  | 24.4035         | 0.2879   |
| No log        | 3.0   | 189  | 21.6171         | 0.3131   |
| No log        | 4.0   | 252  | 22.9241         | 0.3333   |
| No log        | 5.0   | 315  | 36.3034         | 0.3788   |
| No log        | 6.0   | 378  | 22.9598         | 0.4040   |
| No log        | 7.0   | 441  | 25.2469         | 0.3485   |
| 5.5235        | 8.0   | 504  | 29.2667         | 0.3687   |
| 5.5235        | 9.0   | 567  | 24.0718         | 0.3687   |
| 5.5235        | 10.0  | 630  | 25.5240         | 0.3030   |
| 5.5235        | 11.0  | 693  | 28.6147         | 0.3283   |
| 5.5235        | 12.0  | 756  | 33.3811         | 0.3434   |
| 5.5235        | 13.0  | 819  | 28.3026         | 0.3232   |
| 5.5235        | 14.0  | 882  | 27.7010         | 0.2677   |
| 5.5235        | 15.0  | 945  | 26.9798         | 0.3182   |
| 3.9997        | 16.0  | 1008 | 26.8561         | 0.3232   |
| 3.9997        | 17.0  | 1071 | 25.9683         | 0.3687   |
| 3.9997        | 18.0  | 1134 | 23.6478         | 0.3333   |
| 3.9997        | 19.0  | 1197 | 24.1695         | 0.3232   |
| 3.9997        | 20.0  | 1260 | 24.7100         | 0.3485   |


### Framework versions

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