---
license: cc-by-nc-4.0
base_model: latif98/videomae-base-finetuned-isl-numbers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-isl-numbers_aug
  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-finetuned-isl-numbers_aug

This model is a fine-tuned version of [latif98/videomae-base-finetuned-isl-numbers](https://huggingface.co/latif98/videomae-base-finetuned-isl-numbers) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0257
- Accuracy: 0.9930

## 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: 4
- eval_batch_size: 4
- 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: 4180

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1649        | 0.2   | 836  | 0.4413          | 0.8553   |
| 0.1242        | 1.2   | 1672 | 0.1140          | 0.9682   |
| 0.0008        | 2.2   | 2508 | 0.0908          | 0.9797   |
| 0.0004        | 3.2   | 3344 | 0.0116          | 0.9957   |
| 0.0004        | 4.2   | 4180 | 0.0046          | 0.9986   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1