---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-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-2-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: 0.1303
- Accuracy: 0.9798

## 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   | 13   | 1.3863          | 0.2424   |
| No log        | 2.0   | 26   | 1.3861          | 0.2424   |
| No log        | 3.0   | 39   | 1.3859          | 0.2475   |
| No log        | 4.0   | 52   | 1.3857          | 0.2980   |
| No log        | 5.0   | 65   | 1.3854          | 0.3232   |
| No log        | 6.0   | 78   | 1.3846          | 0.2929   |
| No log        | 7.0   | 91   | 1.3836          | 0.3434   |
| No log        | 8.0   | 104  | 1.3776          | 0.4343   |
| No log        | 9.0   | 117  | 1.3345          | 0.6010   |
| No log        | 10.0  | 130  | 1.0517          | 0.6212   |
| No log        | 11.0  | 143  | 0.7070          | 0.7475   |
| No log        | 12.0  | 156  | 0.5129          | 0.8232   |
| No log        | 13.0  | 169  | 0.3645          | 0.8636   |
| No log        | 14.0  | 182  | 0.2729          | 0.9242   |
| No log        | 15.0  | 195  | 0.2573          | 0.9495   |
| No log        | 16.0  | 208  | 0.1570          | 0.9646   |
| No log        | 17.0  | 221  | 0.1303          | 0.9798   |
| No log        | 18.0  | 234  | 0.1164          | 0.9747   |
| No log        | 19.0  | 247  | 0.1218          | 0.9545   |
| No log        | 20.0  | 260  | 0.1037          | 0.9697   |


### Framework versions

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