---
base_model: Tommidi/st_vit_untrained
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: st_vit_trained-8epoch-ucf101-subset
  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. -->

# st_vit_trained-8epoch-ucf101-subset

This model is a fine-tuned version of [Tommidi/st_vit_untrained](https://huggingface.co/Tommidi/st_vit_untrained) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0648
- Accuracy: 0.9733

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 296

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6314        | 0.13  | 38   | 0.1264          | 0.9333   |
| 0.3547        | 1.13  | 76   | 0.0077          | 1.0      |
| 0.0189        | 2.13  | 114  | 0.5103          | 0.9333   |
| 0.0611        | 3.13  | 152  | 0.1508          | 0.9333   |
| 0.0027        | 4.13  | 190  | 0.0018          | 1.0      |
| 0.0812        | 5.13  | 228  | 0.0943          | 0.9333   |
| 0.0005        | 6.13  | 266  | 0.0635          | 0.9667   |
| 0.3035        | 7.1   | 296  | 0.0530          | 0.9667   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1