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# jaffe_V2_20_1

This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5014
- Accuracy: 0.4333

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 2.4111          | 0.1333   |
| No log        | 2.0   | 2    | 2.0318          | 0.1667   |
| No log        | 3.0   | 3    | 2.0433          | 0.1667   |
| No log        | 4.0   | 4    | 2.0298          | 0.1      |
| No log        | 5.0   | 5    | 1.9400          | 0.2      |
| No log        | 6.0   | 6    | 1.8599          | 0.2667   |
| No log        | 7.0   | 7    | 1.7569          | 0.2333   |
| No log        | 8.0   | 8    | 1.8134          | 0.1333   |
| No log        | 9.0   | 9    | 1.6201          | 0.3667   |
| 1.971         | 10.0  | 10   | 1.6919          | 0.2667   |
| 1.971         | 11.0  | 11   | 1.6849          | 0.2667   |
| 1.971         | 12.0  | 12   | 1.6344          | 0.3333   |
| 1.971         | 13.0  | 13   | 1.6805          | 0.3      |
| 1.971         | 14.0  | 14   | 1.5784          | 0.4667   |
| 1.971         | 15.0  | 15   | 1.5104          | 0.4667   |
| 1.971         | 16.0  | 16   | 1.4978          | 0.4333   |
| 1.971         | 17.0  | 17   | 1.5169          | 0.4      |
| 1.971         | 18.0  | 18   | 1.4790          | 0.4      |
| 1.971         | 19.0  | 19   | 1.4223          | 0.6      |
| 1.5094        | 20.0  | 20   | 1.5014          | 0.4333   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0

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