End of training

README.md

@@ -14,9 +14,9 @@ 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: 1.7089
-- Train Accuracy: 0.98
-- Epoch: 4
+- Train Loss: 0.8614
+- Train Accuracy: 1.0
+- Epoch: 9
 
 ## Model description
 
@@ -42,11 +42,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Epoch |
 |:----------:|:--------------:|:-----:|
-| 2.2672     | 0.56           | 0     |
-| 2.1168     | 0.88           | 1     |
-| 1.9815     | 0.94           | 2     |
-| 1.8470     | 0.99           | 3     |
-| 1.7089     | 0.98           | 4     |
+| 1.5734     | 1.0            | 0     |
+| 1.4597     | 1.0            | 1     |
+| 1.3456     | 1.0            | 2     |
+| 1.2322     | 1.0            | 3     |
+| 1.1458     | 1.0            | 4     |
+| 1.0713     | 1.0            | 5     |
+| 0.9932     | 1.0            | 6     |
+| 0.9456     | 1.0            | 7     |
+| 0.9033     | 1.0            | 8     |
+| 0.8614     | 1.0            | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:96563f1bca5d1b904f5967da124ea2319253970e3ee0bf81fbf6da5931b69b26
+oid sha256:c2fd984552343bd5952f089339dc5cd24387f7769333d26ba8d5e1abaec977d7
 size 343494328