
<!-- 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. -->

# Emotion_DF_Image_VIT_V1

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3507
- Accuracy: 1.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3386        | 1.0   | 75   | 2.1762          | 0.9642   |
| 1.6256        | 2.0   | 150  | 1.5539          | 1.0      |
| 1.3628        | 3.0   | 225  | 1.3507          | 1.0      |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0

ses02f_impro01 ses02f_impro02 ses02f_impro03 ses02f_impro04 ses02f_impro05 ses02f_impro06 ses02f_impro07 ses02f_impro08 ses02f_script01_1 ses02f_script01_2 ses02f_script01_3 ses02f_script02_1 ses02f_script02_2 ses02f_script03_1 ses02f_script03_2 ses02m_impro01 ses02m_impro02 ses02m_impro03 ses02m_impro04 ses02m_impro05 ses02m_impro06 ses02m_impro07 ses02m_impro08 ses02m_script01_1 ses02m_script01_2 ses02m_script01_3 ses02m_script02_1 ses02m_script02_2 ses02m_script03_1 ses02m_script03_2