Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7826
-- Train Accuracy: 0.7716
-- Train Top-3-accuracy: 0.9705
-- Validation Loss: 1.1364
-- Validation Accuracy: 0.5965
-- Validation Top-3-accuracy: 0.9532
-- Epoch: 0
+- Train Loss: 0.1564
+- Train Accuracy: 0.9891
+- Train Top-3-accuracy: 1.0
+- Validation Loss: 1.3742
+- Validation Accuracy: 0.5731
+- Validation Top-3-accuracy: 0.9181
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 0.7826     | 0.7716         | 0.9705               | 1.1364          | 0.5965              | 0.9532                    | 0     |
+| 0.1564     | 0.9891         | 1.0                  | 1.3742          | 0.5731              | 0.9181                    | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 343478968