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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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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: asl_classification |
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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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# asl_classification |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2012 |
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- Accuracy: 0.0962 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- num_epochs: 10 |
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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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| No log | 0.9231 | 6 | 3.1928 | 0.1058 | |
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| 2.9337 | 2.0 | 13 | 3.2067 | 0.0865 | |
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| 2.9337 | 2.9231 | 19 | 3.1925 | 0.1154 | |
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| 2.9273 | 4.0 | 26 | 3.1791 | 0.0769 | |
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| 2.9166 | 4.9231 | 32 | 3.1959 | 0.0962 | |
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| 2.9166 | 6.0 | 39 | 3.1797 | 0.0962 | |
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| 2.9078 | 6.9231 | 45 | 3.1835 | 0.1058 | |
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| 2.9157 | 8.0 | 52 | 3.1814 | 0.1154 | |
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| 2.9157 | 8.9231 | 58 | 3.1744 | 0.1058 | |
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| 2.9313 | 9.2308 | 60 | 3.1843 | 0.0962 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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