Training in progress epoch 17

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: 0.2042
-- Validation Loss: 1.7021
-- Train Accuracy: 0.6289
-- Epoch: 16
+- Train Loss: 0.1642
+- Validation Loss: 1.3843
+- Train Accuracy: 0.7070
+- Epoch: 17
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.3352     | 1.7334          | 0.6580         | 14    |
 | 0.2641     | 1.6197          | 0.6670         | 15    |
 | 0.2042     | 1.7021          | 0.6289         | 16    |
+| 0.1642     | 1.3843          | 0.7070         | 17    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5c506cfb6695febb115eb28d8bfc157deb3a50e2dbec473e70a280efc78dbcdb
 size 345162424