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README.md
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---
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license: cc-by-nc-4.0
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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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model.safetensors
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runs/Apr23_02-34-00_blackhorse/events.out.tfevents.1713819855.blackhorse.705231.3
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