---
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_2
  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_2

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: 1.2759
- Accuracy: 0.6839

## 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: 3800

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.5502        | 0.02  | 76   | 3.4251          | 0.0945   |
| 3.1152        | 1.02  | 152  | 3.0364          | 0.2756   |
| 2.6365        | 2.02  | 228  | 2.6197          | 0.3780   |
| 2.3879        | 3.02  | 304  | 2.1519          | 0.4646   |
| 1.9396        | 4.02  | 380  | 2.0804          | 0.4173   |
| 1.9285        | 5.02  | 456  | 1.9335          | 0.4488   |
| 1.5843        | 6.02  | 532  | 1.7907          | 0.4803   |
| 1.2387        | 7.02  | 608  | 1.8962          | 0.3858   |
| 1.2578        | 8.02  | 684  | 1.7191          | 0.4488   |
| 0.9611        | 9.02  | 760  | 1.7362          | 0.4882   |
| 0.9247        | 10.02 | 836  | 1.3898          | 0.5906   |
| 0.8107        | 11.02 | 912  | 1.9588          | 0.4094   |
| 0.7618        | 12.02 | 988  | 1.1416          | 0.6614   |
| 0.7083        | 13.02 | 1064 | 1.2812          | 0.6614   |
| 0.7098        | 14.02 | 1140 | 1.4601          | 0.5197   |
| 0.4601        | 15.02 | 1216 | 1.1276          | 0.6693   |
| 0.5684        | 16.02 | 1292 | 1.4792          | 0.5591   |
| 0.5044        | 17.02 | 1368 | 1.1236          | 0.6614   |
| 0.4551        | 18.02 | 1444 | 1.3894          | 0.6063   |
| 0.3488        | 19.02 | 1520 | 1.2918          | 0.6614   |
| 0.4711        | 20.02 | 1596 | 1.2510          | 0.6299   |
| 0.3451        | 21.02 | 1672 | 1.1265          | 0.6693   |
| 0.394         | 22.02 | 1748 | 1.1676          | 0.6378   |
| 0.234         | 23.02 | 1824 | 1.0714          | 0.7087   |
| 0.2318        | 24.02 | 1900 | 1.2647          | 0.6378   |
| 0.4294        | 25.02 | 1976 | 1.0250          | 0.7480   |
| 0.2084        | 26.02 | 2052 | 1.1361          | 0.6850   |
| 0.1724        | 27.02 | 2128 | 0.8791          | 0.7402   |
| 0.1715        | 28.02 | 2204 | 0.7549          | 0.7559   |
| 0.2719        | 29.02 | 2280 | 0.7708          | 0.7717   |
| 0.2021        | 30.02 | 2356 | 1.1394          | 0.7165   |
| 0.0999        | 31.02 | 2432 | 0.7838          | 0.7717   |
| 0.1473        | 32.02 | 2508 | 1.3809          | 0.6457   |
| 0.0939        | 33.02 | 2584 | 0.7839          | 0.7874   |
| 0.0952        | 34.02 | 2660 | 1.0636          | 0.7008   |
| 0.2684        | 35.02 | 2736 | 0.9194          | 0.7323   |
| 0.1628        | 36.02 | 2812 | 0.7346          | 0.8031   |
| 0.0584        | 37.02 | 2888 | 1.0112          | 0.7323   |
| 0.0567        | 38.02 | 2964 | 1.0584          | 0.7323   |
| 0.1358        | 39.02 | 3040 | 1.0566          | 0.7323   |
| 0.0796        | 40.02 | 3116 | 0.9323          | 0.7480   |
| 0.0828        | 41.02 | 3192 | 0.7611          | 0.7953   |
| 0.0661        | 42.02 | 3268 | 0.7284          | 0.7874   |
| 0.0882        | 43.02 | 3344 | 0.6982          | 0.7953   |
| 0.0398        | 44.02 | 3420 | 0.8586          | 0.7717   |
| 0.2085        | 45.02 | 3496 | 0.7990          | 0.7717   |
| 0.0509        | 46.02 | 3572 | 0.7134          | 0.8268   |
| 0.0791        | 47.02 | 3648 | 0.6887          | 0.8189   |
| 0.0469        | 48.02 | 3724 | 0.7159          | 0.8031   |
| 0.0621        | 49.02 | 3800 | 0.7062          | 0.8031   |


### Framework versions

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