Training in progress epoch 8

.gitattributes

@@ -47,3 +47,5 @@ checkpoints/model-0006.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
 checkpoints/model-0006.ckpt.index filter=lfs diff=lfs merge=lfs -text
 checkpoints/model-0007.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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+checkpoints/model-0008.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+checkpoints/model-0008.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: 0.0543
-- Validation Loss: 0.8610
-- Validation Accuracy: 0.7658
-- Epoch: 7
+- Train Loss: 0.0494
+- Validation Loss: 0.9150
+- Validation Accuracy: 0.7791
+- Epoch: 8
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.1096     | 0.8393          | 0.7758              | 5     |
 | 0.0681     | 0.8437          | 0.7880              | 6     |
 | 0.0543     | 0.8610          | 0.7658              | 7     |
+| 0.0494     | 0.9150          | 0.7791              | 8     |
 
 
 ### Framework versions

checkpoints/checkpoint

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tf_model.h5

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