Training in progress epoch 25

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: 0.0953
-- Validation Loss: 0.7678
-- Train Accuracy: 0.8260
-- Epoch: 24
+- Train Loss: 0.1033
+- Validation Loss: 0.8928
+- Train Accuracy: 0.7705
+- Epoch: 25
 
 ## Model description
 
@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
 | 0.1007     | 0.9143          | 0.7803         | 22    |
 | 0.0811     | 0.7952          | 0.8090         | 23    |
 | 0.0953     | 0.7678          | 0.8260         | 24    |
+| 0.1033     | 0.8928          | 0.7705         | 25    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b551853acca09b5616db1fafa8024fa36699993cf725d0ef52ffa1cd2387d9bc
 size 345162424