ML-777
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vit-base-patch16-224-in21k-finetuned-lora-food101

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ML-777 commited on Dec 16, 2024

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.5236
-- Accuracy: 0.8599
 ## Model description
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.8805        | 0.9981 | 133  | 0.6619          | 0.8220   |
-| 0.7287        | 1.9962 | 266  | 0.6078          | 0.8351   |
-| 0.6463        | 2.9944 | 399  | 0.5612          | 0.8512   |
-| 0.5806        | 4.0    | 533  | 0.5383          | 0.8557   |
-| 0.5229        | 4.9906 | 665  | 0.5236          | 0.8599   |
 ### Framework versions

 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.
 It achieves the following results on the evaluation set:
+- Loss: 0.5269
+- Accuracy: 0.8574
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8173        | 0.9981 | 133  | 0.6705          | 0.8170   |
+| 0.7385        | 1.9962 | 266  | 0.6100          | 0.8313   |
+| 0.5756        | 2.9944 | 399  | 0.5643          | 0.8471   |
+| 0.5668        | 4.0    | 533  | 0.5368          | 0.8527   |
+| 0.5           | 4.9906 | 665  | 0.5269          | 0.8574   |
 ### Framework versions