Training in progress epoch 23

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: 0.0478
-- Validation Loss: 0.2169
-- Train Accuracy: 0.9277
-- Epoch: 22
+- Train Loss: 0.0193
+- Validation Loss: 0.2091
+- Train Accuracy: 0.9880
+- Epoch: 23
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 0.0652     | 0.3167          | 0.8916         | 20    |
 | 0.0281     | 0.2690          | 0.9036         | 21    |
 | 0.0478     | 0.2169          | 0.9277         | 22    |
+| 0.0193     | 0.2091          | 0.9880         | 23    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7f209c89ac37a86a3cc254d62af498dae40447902bdb457245992d870e930aa0
 size 350444216