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: 4.3536
-- Validation Loss: 4.1337
-- Validation Accuracy: 0.1221
-- Epoch: 2
+- Train Loss: 3.8915
+- Validation Loss: 3.6650
+- Validation Accuracy: 0.2053
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 7.0814     | 4.8848          | 0.0133              | 0     |
 | 4.6679     | 4.5568          | 0.0666              | 1     |
 | 4.3536     | 4.1337          | 0.1221              | 2     |
+| 3.8915     | 3.6650          | 0.2053              | 3     |
 
 
 ### Framework versions

checkpoints/checkpoint

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tf_model.h5

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