Training in progress epoch 3

.gitattributes

@@ -37,3 +37,5 @@ checkpoints/model-0001.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
 checkpoints/model-0001.ckpt.index filter=lfs diff=lfs merge=lfs -text
 checkpoints/model-0002.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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+checkpoints/model-0003.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+checkpoints/model-0003.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: 0.8892
-- Validation Loss: 1.1064
-- Validation Accuracy: 0.7059
-- Epoch: 2
+- Train Loss: 0.4021
+- Validation Loss: 0.9831
+- Validation Accuracy: 0.7336
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 4.3094     | 2.8494          | 0.2653              | 0     |
 | 1.9389     | 1.6614          | 0.5538              | 1     |
 | 0.8892     | 1.1064          | 0.7059              | 2     |
+| 0.4021     | 0.9831          | 0.7336              | 3     |
 
 
 ### Framework versions

checkpoints/checkpoint

@@ -1,2 +1,2 @@
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tf_model.h5

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