End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0560
+- Loss: 0.0443
 
 ## Model description
 
@@ -40,18 +40,23 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2417        | 1.0   | 47   | 0.0827          |
-| 0.089         | 2.0   | 94   | 0.0779          |
-| 0.0917        | 3.0   | 141  | 0.0880          |
-| 0.106         | 4.0   | 188  | 0.0533          |
-| 0.1473        | 5.0   | 235  | 0.0560          |
+| 0.0829        | 1.0   | 47   | 0.1157          |
+| 0.0184        | 2.0   | 94   | 0.1660          |
+| 0.0533        | 3.0   | 141  | 0.0765          |
+| 0.0765        | 4.0   | 188  | 0.0530          |
+| 0.101         | 5.0   | 235  | 0.0481          |
+| 0.0936        | 6.0   | 282  | 0.0494          |
+| 0.1032        | 7.0   | 329  | 0.0524          |
+| 0.0033        | 8.0   | 376  | 0.0460          |
+| 0.0185        | 9.0   | 423  | 0.0440          |
+| 0.0044        | 10.0  | 470  | 0.0443          |
 
 
 ### Framework versions

runs/Apr23_05-45-16_a5c642fecc83/events.out.tfevents.1682228729.a5c642fecc83.542.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 18567
+oid sha256:04fc223d63f95c58fe6d6d1ff04f2d275fcb77a6f76ebb9850af595b657bebcc
+size 18921