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: 4.3211
-- Validation Loss: 4.1033
-- Validation Accuracy: 0.1209
-- Epoch: 2
+- Train Loss: 3.8784
+- Validation Loss: 3.6736
+- Validation Accuracy: 0.1859
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 7.0750     | 4.8746          | 0.0090              | 0     |
 | 4.6468     | 4.5229          | 0.0538              | 1     |
 | 4.3211     | 4.1033          | 0.1209              | 2     |
+| 3.8784     | 3.6736          | 0.1859              | 3     |
 
 
 ### Framework versions

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tf_model.h5

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