End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.5
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6135
-- Accuracy: 1.0
+- Loss: 0.7206
+- Accuracy: 0.5
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.6737          | 0.75     |
-| No log        | 2.0   | 2    | 0.6410          | 0.75     |
-| No log        | 3.0   | 3    | 0.6135          | 1.0      |
+| No log        | 1.0   | 1    | 0.7368          | 0.5      |
+| No log        | 2.0   | 2    | 0.7313          | 0.25     |
+| No log        | 3.0   | 3    | 0.7206          | 0.5      |
 
 
 ### Framework versions

model.safetensors

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runs/Apr02_08-12-41_3fde45d4181a/events.out.tfevents.1712045566.3fde45d4181a.464.0

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training_args.bin

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