Training in progress epoch 6

.gitattributes

@@ -43,3 +43,5 @@ checkpoints/model-0004.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
 checkpoints/model-0004.ckpt.index filter=lfs diff=lfs merge=lfs -text
 checkpoints/model-0005.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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+checkpoints/model-0006.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+checkpoints/model-0006.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: 3.0033
-- Validation Loss: 2.8885
-- Validation Accuracy: 0.3185
-- Epoch: 5
+- Train Loss: 2.6252
+- Validation Loss: 2.5913
+- Validation Accuracy: 0.3973
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 3.8915     | 3.6650          | 0.2053              | 3     |
 | 3.4256     | 3.2568          | 0.2597              | 4     |
 | 3.0033     | 2.8885          | 0.3185              | 5     |
+| 2.6252     | 2.5913          | 0.3973              | 6     |
 
 
 ### Framework versions

checkpoints/checkpoint

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tf_model.h5

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