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: 2.4175
-- Train Accuracy: 0.5263
-- Train Top-3-accuracy: 0.7190
-- Validation Loss: 1.9955
-- Validation Accuracy: 0.7702
-- Validation Top-3-accuracy: 0.9039
-- Epoch: 0
+- Train Loss: 1.5487
+- Train Accuracy: 0.8270
+- Train Top-3-accuracy: 0.9344
+- Validation Loss: 1.4502
+- Validation Accuracy: 0.8624
+- Validation Top-3-accuracy: 0.9519
+- 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 |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 2.4175     | 0.5263         | 0.7190               | 1.9955          | 0.7702              | 0.9039                    | 0     |
+| 1.5487     | 0.8270         | 0.9344               | 1.4502          | 0.8624              | 0.9519                    | 1     |
 
 
 ### Framework versions

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