metadata
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: []
videomae-base-finetuned-isl-numbers_aug
This model is a fine-tuned version of 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