Training in progress epoch 4

.gitattributes

@@ -39,3 +39,5 @@ checkpoints/model-0002.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
 checkpoints/model-0002.ckpt.index filter=lfs diff=lfs merge=lfs -text
 checkpoints/model-0003.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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+checkpoints/model-0004.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+checkpoints/model-0004.ckpt.index filter=lfs diff=lfs merge=lfs -text

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: 3.8915
-- Validation Loss: 3.6650
-- Validation Accuracy: 0.2053
-- Epoch: 3
+- Train Loss: 3.4256
+- Validation Loss: 3.2568
+- Validation Accuracy: 0.2597
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 4.6679     | 4.5568          | 0.0666              | 1     |
 | 4.3536     | 4.1337          | 0.1221              | 2     |
 | 3.8915     | 3.6650          | 0.2053              | 3     |
+| 3.4256     | 3.2568          | 0.2597              | 4     |
 
 
 ### Framework versions

checkpoints/checkpoint

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tf_model.h5

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