Training in progress epoch 3

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: 2.2048
-- Validation Loss: 2.0283
-- Validation Accuracy: 0.5190
-- Epoch: 2
+- Train Loss: 1.7291
+- Validation Loss: 1.6844
+- Validation Accuracy: 0.5952
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 3.4925     | 3.0825          | 0.2895              | 0     |
 | 2.7789     | 2.4806          | 0.4198              | 1     |
 | 2.2048     | 2.0283          | 0.5190              | 2     |
+| 1.7291     | 1.6844          | 0.5952              | 3     |
 
 
 ### Framework versions

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