Training in progress epoch 24

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: 0.0193
-- Validation Loss: 0.2091
-- Train Accuracy: 0.9880
-- Epoch: 23
+- Train Loss: 0.0162
+- Validation Loss: 0.2163
+- Train Accuracy: 0.8916
+- Epoch: 24
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 0.0281     | 0.2690          | 0.9036         | 21    |
 | 0.0478     | 0.2169          | 0.9277         | 22    |
 | 0.0193     | 0.2091          | 0.9880         | 23    |
+| 0.0162     | 0.2163          | 0.8916         | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1f66f0afa519f78c97b98b4cdc7040125aeebda2f3021878e1a6988aec059afa
 size 350444216