Training in progress epoch 3

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: 0.8368
-- Validation Loss: 1.2810
-- Train Accuracy: 0.6386
-- Epoch: 2
+- Train Loss: 0.4281
+- Validation Loss: 1.0031
+- Train Accuracy: 0.7108
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 2.4213     | 2.1960          | 0.3976         | 0     |
 | 1.4980     | 1.6884          | 0.5542         | 1     |
 | 0.8368     | 1.2810          | 0.6386         | 2     |
+| 0.4281     | 1.0031          | 0.7108         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1df4336f86d3d0b28e48ebd1db9a3d612bf895587b647f2010a3a8640864d930
 size 344677048