---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: custom-vgg19
  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. -->

# custom-vgg19

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: 0.3984
- Accuracy: 0.9216

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 13   | 0.5019          | 0.8235   |
| No log        | 2.0   | 26   | 0.4287          | 0.9020   |
| No log        | 3.0   | 39   | 0.4242          | 0.9020   |
| No log        | 4.0   | 52   | 0.5184          | 0.8039   |
| No log        | 5.0   | 65   | 0.4223          | 0.8824   |
| No log        | 6.0   | 78   | 0.4254          | 0.8824   |
| No log        | 7.0   | 91   | 0.4310          | 0.8824   |
| No log        | 8.0   | 104  | 0.3984          | 0.9216   |
| No log        | 9.0   | 117  | 0.4275          | 0.8824   |
| No log        | 10.0  | 130  | 0.4264          | 0.8824   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1