---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-small-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VideoMAE-small-finetuned-ARSL-diverse-dataset
  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-small-finetuned-ARSL-diverse-dataset

This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-small-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5045
- Accuracy: 0.9663

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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: 1437

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2899        | 0.21  | 298  | 2.2096          | 0.1685   |
| 1.7238        | 1.21  | 596  | 1.3098          | 0.8652   |
| 0.7663        | 2.21  | 894  | 0.7863          | 0.9101   |
| 0.6536        | 3.21  | 1192 | 0.5533          | 0.9663   |
| 0.6902        | 4.17  | 1437 | 0.5045          | 0.9663   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2