---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: spatial_vit_temporal_vit-finetuned-ucf101-subset
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# spatial_vit_temporal_vit-finetuned-ucf101-subset

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3172
- Accuracy: 0.68

## 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: 148

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2165        | 0.26  | 38   | 2.0699          | 0.2667   |
| 1.8229        | 1.26  | 76   | 1.8160          | 0.5      |
| 1.4707        | 2.26  | 114  | 1.4157          | 0.7      |
| 1.3886        | 3.23  | 148  | 1.3520          | 0.7333   |


### Framework versions

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