Training in progress epoch 4

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.8808
-- Validation Loss: 3.6981
-- Validation Accuracy: 0.1806
-- Epoch: 3
+- Train Loss: 3.4497
+- Validation Loss: 3.2741
+- Validation Accuracy: 0.2553
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 4.6529     | 4.5201          | 0.0658              | 1     |
 | 4.3215     | 4.1158          | 0.0992              | 2     |
 | 3.8808     | 3.6981          | 0.1806              | 3     |
+| 3.4497     | 3.2741          | 0.2553              | 4     |
 
 
 ### Framework versions

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