Model save
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- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the image_folder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 2 | 2.
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| No log | 2.0 | 5 | 1.
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| No log | 2.4 | 6 | 1.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.30337078651685395
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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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the image_folder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9377
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- Accuracy: 0.3034
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 2 | 2.0404 | 0.1573 |
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| No log | 2.0 | 5 | 1.9487 | 0.3034 |
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| No log | 2.4 | 6 | 1.9377 | 0.3034 |
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### Framework versions
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pytorch_model.bin
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