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-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: 0.4895
-- Validation Loss: 0.7904
-- Train Accuracy: 0.8072
-- Epoch: 6
+- Train Loss: 0.1850
+- Validation Loss: 0.5048
+- Train Accuracy: 0.9277
+- Epoch: 7
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.2528     | 0.9361          | 0.7108         | 4     |
 | 0.1838     | 1.1263          | 0.6145         | 5     |
 | 0.4895     | 0.7904          | 0.8072         | 6     |
+| 0.1850     | 0.5048          | 0.9277         | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6faf7d278be5b8fe1502847e3298ad3cc916d01619c3091c789bfc189a588d7c
 size 344677048