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--- |
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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: food101-vit-base-patch16-224-in21k |
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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-vit-base-patch16-224-in21k |
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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: 0.3894 |
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- Accuracy: 0.9072 |
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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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| 0.9431 | 1.0 | 9469 | 0.6777 | 0.8593 | |
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| 0.617 | 2.0 | 18938 | 0.4546 | 0.8802 | |
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| 0.9109 | 3.0 | 28407 | 0.4086 | 0.8899 | |
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| 1.0346 | 4.0 | 37876 | 0.3911 | 0.8968 | |
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| 0.2142 | 5.0 | 47345 | 0.4098 | 0.8913 | |
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| 0.7247 | 6.0 | 56814 | 0.3904 | 0.9008 | |
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| 0.3935 | 7.0 | 66283 | 0.3873 | 0.9035 | |
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| 0.552 | 8.0 | 75752 | 0.3915 | 0.9053 | |
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| 0.4012 | 9.0 | 85221 | 0.3955 | 0.9052 | |
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| 0.2699 | 10.0 | 94690 | 0.3894 | 0.9072 | |
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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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