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---
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
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