Training in progress epoch 3

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: 1.0922
-- Validation Loss: 1.0990
-- Train Accuracy: 0.7590
-- Epoch: 2
+- Train Loss: 0.6402
+- Validation Loss: 0.8232
+- Train Accuracy: 0.8193
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 2.5019     | 2.0795          | 0.3735         | 0     |
 | 1.7660     | 1.7259          | 0.4458         | 1     |
 | 1.0922     | 1.0990          | 0.7590         | 2     |
+| 0.6402     | 0.8232          | 0.8193         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b7d7d3a79b270a9ce6e6e565f47a9dc955e5b46ae035522b0e315897b4c01680
 size 350444216