---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VideoMAEF-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. -->

# VideoMAEF-finetuned-ARSL-diverse-dataset

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0012
- Accuracy: 1.0

## 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: 2395

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0485        | 0.12  | 298  | 1.1148          | 0.6854   |
| 0.7256        | 1.12  | 596  | 0.1032          | 1.0      |
| 0.2052        | 2.12  | 894  | 0.0057          | 1.0      |
| 0.0451        | 3.12  | 1192 | 0.0028          | 1.0      |
| 0.1821        | 4.12  | 1490 | 0.0020          | 1.0      |
| 0.0965        | 5.12  | 1788 | 0.0015          | 1.0      |
| 0.0873        | 6.12  | 2086 | 0.0012          | 1.0      |
| 0.0027        | 7.12  | 2384 | 0.0011          | 1.0      |
| 0.1222        | 8.0   | 2395 | 0.0012          | 1.0      |


### Framework versions

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