---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-swag
  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-swag

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: 2.2180
- Accuracy: 0.3081

## 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   | 1.3858          | 0.2172   |
| No log        | 2.0   | 126  | 1.3860          | 0.2273   |
| No log        | 3.0   | 189  | 1.4008          | 0.2424   |
| No log        | 4.0   | 252  | 1.6880          | 0.2121   |
| No log        | 5.0   | 315  | 1.7630          | 0.2222   |
| No log        | 6.0   | 378  | 2.2180          | 0.3081   |
| No log        | 7.0   | 441  | 2.7238          | 0.2727   |
| 0.7342        | 8.0   | 504  | 2.2261          | 0.2424   |
| 0.7342        | 9.0   | 567  | 3.3632          | 0.2475   |
| 0.7342        | 10.0  | 630  | 2.8625          | 0.2525   |
| 0.7342        | 11.0  | 693  | 2.8340          | 0.2677   |
| 0.7342        | 12.0  | 756  | 3.2504          | 0.2374   |
| 0.7342        | 13.0  | 819  | 3.2605          | 0.2727   |
| 0.7342        | 14.0  | 882  | 3.6696          | 0.2525   |
| 0.7342        | 15.0  | 945  | 3.5670          | 0.2374   |
| 0.0282        | 16.0  | 1008 | 3.8346          | 0.2677   |
| 0.0282        | 17.0  | 1071 | 3.7978          | 0.2727   |
| 0.0282        | 18.0  | 1134 | 3.7438          | 0.2677   |
| 0.0282        | 19.0  | 1197 | 3.7843          | 0.2727   |
| 0.0282        | 20.0  | 1260 | 3.8037          | 0.2626   |


### Framework versions

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