Training in progress epoch 23

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1007
-- Validation Loss: 0.9143
-- Train Accuracy: 0.7803
-- Epoch: 22
+- Train Loss: 0.0811
+- Validation Loss: 0.7952
+- Train Accuracy: 0.8090
+- Epoch: 23
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 0.1093     | 0.9233          | 0.8020         | 20    |
 | 0.1215     | 0.9209          | 0.7977         | 21    |
 | 0.1007     | 0.9143          | 0.7803         | 22    |
+| 0.0811     | 0.7952          | 0.8090         | 23    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:33f8d2a38e73714efe896a2e0785442260306a3d1da2ac6f68ee067fa9b6fd81
 size 345162424