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: 4.3215
-- Validation Loss: 4.1158
-- Validation Accuracy: 0.0992
-- Epoch: 2
+- Train Loss: 3.8808
+- Validation Loss: 3.6981
+- Validation Accuracy: 0.1806
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 7.0613     | 4.8451          | 0.0134              | 0     |
 | 4.6529     | 4.5201          | 0.0658              | 1     |
 | 4.3215     | 4.1158          | 0.0992              | 2     |
+| 3.8808     | 3.6981          | 0.1806              | 3     |
 
 
 ### Framework versions

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tf_model.h5

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