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striking-hour/vit-food101-lora

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  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
  3. runs/Jul17_15-19-16_e295f456e24d/events.out.tfevents.1721229563.e295f456e24d.334.0 +3 -0
  4. runs/Jul17_15-19-16_e295f456e24d/events.out.tfevents.1721230167.e295f456e24d.334.1 +3 -0
  5. training_args.bin +1 -1
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: 0.1517
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- - Accuracy: 0.958
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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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- | 2.4317 | 0.9577 | 17 | 0.2685 | 0.936 |
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- | 0.1743 | 1.9718 | 35 | 0.1517 | 0.958 |
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- | 0.0926 | 2.9859 | 53 | 0.1445 | 0.953 |
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- | 0.0533 | 4.0 | 71 | 0.1454 | 0.953 |
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- | 0.0382 | 4.7887 | 85 | 0.1444 | 0.953 |
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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: 0.1576
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+ - Accuracy: 0.954
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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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+ | 2.3525 | 0.9577 | 17 | 0.2488 | 0.935 |
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+ | 0.1562 | 1.9718 | 35 | 0.1771 | 0.944 |
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+ | 0.084 | 2.9859 | 53 | 0.1641 | 0.95 |
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+ | 0.0523 | 4.0 | 71 | 0.1642 | 0.95 |
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+ | 0.0359 | 4.7887 | 85 | 0.1576 | 0.954 |
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  ### Framework versions
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