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README.md CHANGED
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  license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
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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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+
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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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+
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+ # videomae-base-finetuned-isl-numbers_aug
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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