Training in progress, epoch 1
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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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 [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the imagefolder dataset.
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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 Loss | Epoch | Step | Validation Loss | Accuracy |
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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: 0.9433333333333334
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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 [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1882
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- Accuracy: 0.9433
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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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| 6.9364 | 1.0 | 150 | 1.5889 | 0.74 |
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| 2.3268 | 2.0 | 300 | 0.5301 | 0.8533 |
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| 1.2644 | 3.0 | 450 | 0.3337 | 0.9167 |
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| 0.91 | 4.0 | 600 | 0.2611 | 0.9067 |
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| 0.664 | 5.0 | 750 | 0.2194 | 0.9167 |
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| 0.6286 | 6.0 | 900 | 0.2311 | 0.9267 |
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| 0.6042 | 7.0 | 1050 | 0.2450 | 0.9233 |
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| 0.629 | 8.0 | 1200 | 0.2225 | 0.9333 |
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| 0.3318 | 9.0 | 1350 | 0.2032 | 0.9367 |
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| 0.2009 | 10.0 | 1500 | 0.1882 | 0.9433 |
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### Framework versions
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model.safetensors
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training_args.bin
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