Training in progress epoch 7

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: 0.2674
-- Validation Loss: 0.4986
-- Train Accuracy: 0.9157
-- Epoch: 5
+- Train Loss: 0.2579
+- Validation Loss: 0.7721
+- Train Accuracy: 0.7349
+- Epoch: 7
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 0.6402     | 0.8232          | 0.8193         | 3     |
 | 0.4725     | 0.6107          | 0.8675         | 4     |
 | 0.2674     | 0.4986          | 0.9157         | 5     |
+| 0.1794     | 0.5000          | 0.9157         | 6     |
+| 0.2579     | 0.7721          | 0.7349         | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f5715b9512a8809dfd50a471bf8fa2a8a7b4936ecc61bcc1b4d56d08e4249db1
 size 350444216