Training in progress epoch 4

README.md

@@ -14,13 +14,13 @@ 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: 0.2153
-- Train Accuracy: 0.9259
-- Train Top-3-accuracy: 0.9952
-- Validation Loss: 0.2316
-- Validation Accuracy: 0.9187
-- Validation Top-3-accuracy: 0.9958
-- Epoch: 3
+- Train Loss: 0.1408
+- Train Accuracy: 0.9540
+- Train Top-3-accuracy: 0.9973
+- Validation Loss: 0.2008
+- Validation Accuracy: 0.9335
+- Validation Top-3-accuracy: 0.9965
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.4363     | 0.8428         | 0.9845               | 0.3823          | 0.8641              | 0.9881                    | 1     |
 | 0.3123     | 0.8863         | 0.9922               | 0.2945          | 0.8988              | 0.9928                    | 2     |
 | 0.2153     | 0.9259         | 0.9952               | 0.2316          | 0.9187              | 0.9958                    | 3     |
+| 0.1408     | 0.9540         | 0.9973               | 0.2008          | 0.9335              | 0.9965                    | 4     |
 
 
 ### Framework versions

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tf_model.h5

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