Training in progress epoch 8

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-patch32-384](https://huggingface.co/google/vit-base-patch32-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2579
-- Validation Loss: 0.7721
-- Train Accuracy: 0.7349
-- Epoch: 7
+- Train Loss: 0.1269
+- Validation Loss: 0.3304
+- Train Accuracy: 0.8675
+- Epoch: 8
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.2674     | 0.4986          | 0.9157         | 5     |
 | 0.1794     | 0.5000          | 0.9157         | 6     |
 | 0.2579     | 0.7721          | 0.7349         | 7     |
+| 0.1269     | 0.3304          | 0.8675         | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3f1b6df0885a152302dcb08edc8a55388d2f5d8a4e2eb1c525abc27a854eebe6
 size 350444216