End of training

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.0662
-- Validation Loss: 2.7376
-- Validation Accuracy: 0.1374
-- Epoch: 0
+- Train Loss: 0.5582
+- Validation Loss: 2.1533
+- Validation Accuracy: 0.2059
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:---------------:|:-------------------:|:-----:|
 | 3.0662     | 2.7376          | 0.1374              | 0     |
+| 1.3977     | 2.3876          | 0.1685              | 1     |
+| 0.5582     | 2.1533          | 0.2059              | 2     |
 
 
 ### Framework versions

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tf_model.h5

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