---
base_model: Tommidi/st_vit_untrained-101
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: st_vit_pretrained-1epoch-ucf101
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# st_vit_pretrained-1epoch-ucf101

This model is a fine-tuned version of [Tommidi/st_vit_untrained-101](https://huggingface.co/Tommidi/st_vit_untrained-101) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6804
- Accuracy: 0.625

## 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: 1
- eval_batch_size: 1
- 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: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0646        | 1.0   | 16   | 1.6804          | 0.625    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1