End of training

README.md

@@ -20,7 +20,7 @@ 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 the food101 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4845
+- Loss: 2.1032
 - Accuracy: 1.0
 
 ## Model description
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 2    | 2.4845          | 1.0      |
-| No log        | 2.0   | 4    | 1.0485          | 1.0      |
+| No log        | 1.0   | 2    | 2.1032          | 1.0      |
+| No log        | 2.0   | 4    | 0.8816          | 1.0      |
 
 
 ### Framework versions

adapter_config.json

@@ -25,8 +25,8 @@
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   "target_modules": [
     "query",
-    "key",
     "dense",
+    "key",
     "value"
   ],
   "task_type": null

adapter_model.safetensors

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training_args.bin

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