Model save
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README.md
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-oxford-iiit-pets
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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license: apache-2.0
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base_model: google/vit-base-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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# vit-base-oxford-iiit-pets
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2041
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- Accuracy: 0.9418
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.566 | 1.0 | 370 | 0.4090 | 0.9080 |
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| 0.2668 | 2.0 | 740 | 0.2779 | 0.9364 |
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| 0.22 | 3.0 | 1110 | 0.2454 | 0.9418 |
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| 0.1789 | 4.0 | 1480 | 0.2339 | 0.9364 |
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| 0.1745 | 5.0 | 1850 | 0.2302 | 0.9378 |
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### Framework versions
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runs/May15_05-00-58_6484e0494721/events.out.tfevents.1715749929.6484e0494721.16277.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:63c6716a481c5a327c76756dacc940464e09204d99160fcc9cbf5e881dca226a
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size 411
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