JamesJayamuni
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flower_image_classification_ResNet50_v1.0

Image Classification

computer vision

image classification

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JamesJayamuni commited on Jun 19

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@@ -48,13 +48,13 @@ The following hyperparameters were used during training:
 ### Fine-Tuning Results
-| Epoch | Step  | Training Loss   | Accuracy | Validation Loss | Validation Accuracy|
-|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------------:|
-| 1.0   | 345   | 13.9143         | 0.6478   | 0.5310          | 0.8288             |
-| 2.0   | 690   | 0.2639          | 0.9161   | 0.6046          | 0.8419             |
-| 3.0   | 1035  | 0.1369          | 0.9539   | 0.5483          | 0.8561             |
-| 4.0   | 1380  | 0.0863          | 0.9703   | 0.5699          | 0.8659             |
-| 5.0   | 1725  | 0.0686          | 0.9837   | 0.7941          | 0.8571             |
 ### Framework versions

 ### Fine-Tuning Results
+| Epoch | Step  | Training Loss   | Training Accuracy | Validation Loss | Validation Accuracy|
+|:-----:|:-----:|:---------------:|:-----------------:|:---------------:|:------------------:|
+| 1.0   | 345   | 13.9143         | 0.6478            | 0.5310          | 0.8288             |
+| 2.0   | 690   | 0.2639          | 0.9161            | 0.6046          | 0.8419             |
+| 3.0   | 1035  | 0.1369          | 0.9539            | 0.5483          | 0.8561             |
+| 4.0   | 1380  | 0.0863          | 0.9703            | 0.5699          | 0.8659             |
+| 5.0   | 1725  | 0.0686          | 0.9837            | 0.7941          | 0.8571             |
 ### Framework versions