End of training

README.md

@@ -14,10 +14,10 @@ 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:
-- Train Loss: 2.5005
-- Validation Loss: 1.3820
-- Train Accuracy: 0.918
-- Epoch: 0
+- Train Loss: 0.0300
+- Validation Loss: 0.2483
+- Train Accuracy: 0.937
+- Epoch: 4
 
 ## Model description
 
@@ -43,7 +43,11 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.5005     | 1.3820          | 0.918          | 0     |
+| 0.0597     | 0.2589          | 0.939          | 0     |
+| 0.0388     | 0.2590          | 0.941          | 1     |
+| 0.0400     | 0.2966          | 0.925          | 2     |
+| 0.0437     | 0.2780          | 0.934          | 3     |
+| 0.0300     | 0.2483          | 0.937          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 343773984