Training in progress epoch 2

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: 1.1190
-- Train Accuracy: 0.8685
-- Train Top-3-accuracy: 0.9480
-- Validation Loss: 1.0225
-- Validation Accuracy: 0.8936
-- Validation Top-3-accuracy: 0.9619
-- Epoch: 1
+- Train Loss: 0.7030
+- Train Accuracy: 0.9096
+- Train Top-3-accuracy: 0.9690
+- Validation Loss: 0.7398
+- Validation Accuracy: 0.9214
+- Validation Top-3-accuracy: 0.9743
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 2.1799     | 0.6071         | 0.7594               | 1.6173          | 0.8262              | 0.9238                    | 0     |
 | 1.1190     | 0.8685         | 0.9480               | 1.0225          | 0.8936              | 0.9619                    | 1     |
+| 0.7030     | 0.9096         | 0.9690               | 0.7398          | 0.9214              | 0.9743                    | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1710971335.fbf9362f6926.420.0.v2

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tf_model.h5

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