---
base_model: Ham1mad1/videomae-base-Vsl-Lab-PC-V6
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-Vsl-Lab-PC-V6-homecook
  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. -->

# videomae-base-Vsl-Lab-PC-V6-homecook

This model is a fine-tuned version of [Ham1mad1/videomae-base-Vsl-Lab-PC-V6](https://huggingface.co/Ham1mad1/videomae-base-Vsl-Lab-PC-V6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2225
- Accuracy: 0.6429

## 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: 38

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0001        | 0.5   | 19   | 2.2177          | 0.6429   |
| 0.0001        | 1.5   | 38   | 2.2225          | 0.6429   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.0
- Tokenizers 0.15.0