Training in progress epoch 0

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: 3.8855
-- Validation Loss: 3.6671
-- Validation Accuracy: 0.2105
-- Epoch: 3
+- Train Loss: 7.0880
+- Validation Loss: 4.8638
+- Validation Accuracy: 0.0146
+- Epoch: 0
 
 ## Model description
 
@@ -44,10 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:---------------:|:-------------------:|:-----:|
-| 7.0852     | 4.8518          | 0.0123              | 0     |
-| 4.6510     | 4.5228          | 0.0717              | 1     |
-| 4.3296     | 4.1093          | 0.1232              | 2     |
-| 3.8855     | 3.6671          | 0.2105              | 3     |
+| 7.0880     | 4.8638          | 0.0146              | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1703538427.fv-az847-406.1850.0.v2

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logs/validation/events.out.tfevents.1703540000.fv-az847-406.1850.1.v2

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tf_model.h5

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