End of training

README.md

@@ -15,8 +15,8 @@ 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: 4.2052
-- Validation Loss: 4.0860
+- Train Loss: 3.7305
+- Validation Loss: 3.5865
 - Train Accuracy: 1.0
 - Epoch: 4
 
@@ -44,11 +44,11 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 4.5187     | 4.3791          | 1.0            | 0     |
-| 4.4396     | 4.3095          | 1.0            | 1     |
-| 4.3901     | 4.2421          | 1.0            | 2     |
-| 4.2868     | 4.1683          | 1.0            | 3     |
-| 4.2052     | 4.0860          | 1.0            | 4     |
+| 4.1228     | 3.9856          | 1.0            | 0     |
+| 4.0203     | 3.8570          | 1.0            | 1     |
+| 3.9410     | 3.7384          | 1.0            | 2     |
+| 3.8562     | 3.6566          | 1.0            | 3     |
+| 3.7305     | 3.5865          | 1.0            | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:361c2353368f2ea68a9c841118439400194c66014d993b38c5d5383f87639623
+oid sha256:0b1ab3de35d69be37d5ddd6814cf44f3e282ad46c22c0779748cb704fe664bd3
 size 343776952