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--- |
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license: cc-by-nc-4.0 |
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base_model: latif98/videomae-base-finetuned-isl-numbers |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: videomae-base-finetuned-isl-numbers_aug |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# videomae-base-finetuned-isl-numbers_aug |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0257 |
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- Accuracy: 0.9930 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 4180 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.1649 | 0.2 | 836 | 0.4413 | 0.8553 | |
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| 0.1242 | 1.2 | 1672 | 0.1140 | 0.9682 | |
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| 0.0008 | 2.2 | 2508 | 0.0908 | 0.9797 | |
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| 0.0004 | 3.2 | 3344 | 0.0116 | 0.9957 | |
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| 0.0004 | 4.2 | 4180 | 0.0046 | 0.9986 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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