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--- |
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license: apache-2.0 |
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base_model: facebook/deit-tiny-patch16-224 |
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tags: |
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- image-classification |
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- vision |
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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: food101-deit-tiny-patch16-224 |
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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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# food101-deit-tiny-patch16-224 |
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This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the food101 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6538 |
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- Accuracy: 0.8204 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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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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- num_epochs: 10.0 |
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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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| 1.7988 | 1.0 | 9469 | 1.4392 | 0.6555 | |
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| 1.5581 | 2.0 | 18938 | 1.1165 | 0.7145 | |
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| 1.2981 | 3.0 | 28407 | 0.9254 | 0.7558 | |
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| 1.4347 | 4.0 | 37876 | 0.8343 | 0.7739 | |
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| 0.9679 | 5.0 | 47345 | 0.7731 | 0.7922 | |
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| 0.9975 | 6.0 | 56814 | 0.7378 | 0.7998 | |
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| 1.0269 | 7.0 | 66283 | 0.7022 | 0.8073 | |
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| 0.8969 | 8.0 | 75752 | 0.6865 | 0.8117 | |
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| 0.8152 | 9.0 | 85221 | 0.6641 | 0.8194 | |
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| 0.7437 | 10.0 | 94690 | 0.6538 | 0.8204 | |
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### Framework versions |
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- Transformers 4.38.0 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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