Training in progress epoch 2
Browse files- README.md +6 -5
- tf_model.h5 +1 -1
README.md
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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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- Train Loss: 0.
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- Train Accuracy: 0.
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- Train Top-3-accuracy: 1.0
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- Validation Loss: 1.
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- Validation Accuracy: 0.5731
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- Validation Top-3-accuracy: 0.
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- Epoch:
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## Model description
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 0.7826 | 0.7716 | 0.9705 | 1.1364 | 0.5965 | 0.9532 | 0 |
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| 0.1564 | 0.9891 | 1.0 | 1.3742 | 0.5731 | 0.9181 | 1 |
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### Framework versions
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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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- Train Loss: 0.0782
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- Train Accuracy: 0.9985
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- Train Top-3-accuracy: 1.0
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- Validation Loss: 1.4406
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- Validation Accuracy: 0.5731
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- Validation Top-3-accuracy: 0.9298
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- Epoch: 2
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## Model description
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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| 0.7826 | 0.7716 | 0.9705 | 1.1364 | 0.5965 | 0.9532 | 0 |
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| 0.1564 | 0.9891 | 1.0 | 1.3742 | 0.5731 | 0.9181 | 1 |
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| 0.0782 | 0.9985 | 1.0 | 1.4406 | 0.5731 | 0.9298 | 2 |
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### Framework versions
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tf_model.h5
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size 343478968
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