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: 2.2968
-- Validation Loss: 2.4872
+- Train Loss: 2.3043
+- Validation Loss: 2.3868
 - Train Accuracy: 0.0
 - Epoch: 4
 
@@ -44,11 +44,11 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.4382     | 2.4770          | 0.0            | 0     |
-| 2.3869     | 2.4797          | 0.0            | 1     |
-| 2.3422     | 2.4799          | 0.0            | 2     |
-| 2.3278     | 2.4825          | 0.0            | 3     |
-| 2.2968     | 2.4872          | 0.0            | 4     |
+| 2.4220     | 2.3051          | 0.3333         | 0     |
+| 2.3767     | 2.3182          | 0.3333         | 1     |
+| 2.3069     | 2.3403          | 0.0            | 2     |
+| 2.2764     | 2.3623          | 0.0            | 3     |
+| 2.3043     | 2.3868          | 0.0            | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aebeca97cb7393aaf885ce7836fe32d5d342a95246314f103d888078bd0b1258
+oid sha256:9106ae9b3b3ffcb96078a9573b9aeb37b165399dcb8d43b1d7da8279ffd7b89c
 size 343513784