Training in progress epoch 20

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: 0.1251
-- Validation Loss: 1.2797
-- Train Accuracy: 0.7098
-- Epoch: 19
+- Train Loss: 0.1093
+- Validation Loss: 0.9233
+- Train Accuracy: 0.8020
+- Epoch: 20
 
 ## Model description
 
@@ -64,6 +64,7 @@ The following hyperparameters were used during training:
 | 0.1642     | 1.3843          | 0.7070         | 17    |
 | 0.1500     | 1.4422          | 0.6787         | 18    |
 | 0.1251     | 1.2797          | 0.7098         | 19    |
+| 0.1093     | 0.9233          | 0.8020         | 20    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7a9b6f7cd441d7ecf8a8862143b1440461d5aa3c10bc8fc2441acc22f62a1542
 size 345162424