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--- |
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license: apache-2.0 |
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base_model: WinKawaks/vit-tiny-patch16-224 |
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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: quickdraw-ViT-base-finetune |
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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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# quickdraw-ViT-base-finetune |
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This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8260 |
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- Accuracy: 0.7892 |
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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: 0.0008 |
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- train_batch_size: 512 |
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- eval_batch_size: 512 |
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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_steps: 10000 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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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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| 1.3104 | 0.5688 | 5000 | 1.2637 | 0.6826 | |
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| 1.1479 | 1.1377 | 10000 | 1.1421 | 0.7096 | |
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| 1.0236 | 1.7065 | 15000 | 1.0128 | 0.7404 | |
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| 0.9206 | 2.2753 | 20000 | 0.9457 | 0.7577 | |
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| 0.8878 | 2.8441 | 25000 | 0.9111 | 0.7652 | |
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| 0.8107 | 3.4130 | 30000 | 0.8754 | 0.7749 | |
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| 0.7874 | 3.9818 | 35000 | 0.8436 | 0.7827 | |
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| 0.7064 | 4.5506 | 40000 | 0.8360 | 0.7869 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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