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vit-base-patch16-224-in21k-finetuned-lora-food101

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  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
  3. runs/Mar25_09-06-08_bryanbradfo/events.out.tfevents.1711328773.bryanbradfo.3380.0 +2 -2
  4. runs/Mar25_09-06-08_bryanbradfo/events.out.tfevents.1711331690.bryanbradfo.3380.1 +3 -0
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1459
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- - Accuracy: 0.954
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  ## Model description
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@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 9 | 0.5797 | 0.866 |
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- | 2.1991 | 2.0 | 18 | 0.2046 | 0.94 |
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- | 0.344 | 3.0 | 27 | 0.1810 | 0.94 |
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- | 0.2076 | 4.0 | 36 | 0.1638 | 0.948 |
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- | 0.1739 | 5.0 | 45 | 0.1459 | 0.954 |
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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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+ - Loss: 0.2034
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+ - Accuracy: 0.94
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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 | 1.0 | 9 | 0.5701 | 0.866 |
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+ | 2.1862 | 2.0 | 18 | 0.2383 | 0.936 |
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+ | 0.3244 | 3.0 | 27 | 0.2034 | 0.94 |
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+ | 0.1904 | 4.0 | 36 | 0.2018 | 0.932 |
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+ | 0.1786 | 5.0 | 45 | 0.1818 | 0.94 |
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  ### Framework versions
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