Training in progress epoch 13

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: 0.2311
-- Validation Loss: 0.4113
-- Train Accuracy: 0.8795
-- Epoch: 12
+- Train Loss: 0.0753
+- Validation Loss: 0.2964
+- Train Accuracy: 0.9157
+- Epoch: 13
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 0.1181     | 0.4988          | 0.8193         | 10    |
 | 0.1241     | 0.2899          | 0.8795         | 11    |
 | 0.2311     | 0.4113          | 0.8795         | 12    |
+| 0.0753     | 0.2964          | 0.9157         | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c9a154ab5f5cdec3dd63606e82d940ab09328320941e96e43d6618e23da377c
+oid sha256:1301860e68a5e09c3bba8b2d4b81c7f3d57f8a27a2b8a6c2bac63d29d956daa0
 size 350444216