Training in progress epoch 9

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-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8592
-- Validation Loss: 0.6096
+- Train Loss: 0.7912
+- Validation Loss: 0.6198
 - Train Accuracy: 0.8103
-- Epoch: 8
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.8707     | 0.6485          | 0.7931         | 6     |
 | 0.8478     | 0.6382          | 0.8103         | 7     |
 | 0.8592     | 0.6096          | 0.8103         | 8     |
+| 0.7912     | 0.6198          | 0.8103         | 9     |
 
 
 ### Framework versions

checkpoint/extra_data.pickle

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7275cc11d784f20f5124f62b4196ef723fa062cd04b1924d7a60e26c353f2102
+oid sha256:f3bc7fb505e9a167e61fd2b3231f0c2ab07ceaacfa54cb82b3423f491dc9e5de
 size 686423311

checkpoint/weights.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:477348120b90c814448dad711b4ed7f150e4a967265d3a530169ef0ce3233fe2
+oid sha256:e2f5793b6591b6651fda0dc4e2792d0ab5379353d026098befc22d3c9b35545e
 size 343472824

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:477348120b90c814448dad711b4ed7f150e4a967265d3a530169ef0ce3233fe2
+oid sha256:e2f5793b6591b6651fda0dc4e2792d0ab5379353d026098befc22d3c9b35545e
 size 343472824