Training in progress epoch 34

.gitattributes

@@ -99,3 +99,5 @@ checkpoints/model-0032.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
 checkpoints/model-0032.ckpt.index filter=lfs diff=lfs merge=lfs -text
 checkpoints/model-0033.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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+checkpoints/model-0034.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+checkpoints/model-0034.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: 0.0327
-- Validation Loss: 1.1907
-- Validation Accuracy: 0.7048
-- Epoch: 33
+- Train Loss: 0.0286
+- Validation Loss: 1.1866
+- Validation Accuracy: 0.7159
+- Epoch: 34
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 0.0444     | 1.1845          | 0.7037              | 31    |
 | 0.0374     | 1.1969          | 0.7026              | 32    |
 | 0.0327     | 1.1907          | 0.7048              | 33    |
+| 0.0286     | 1.1866          | 0.7159              | 34    |
 
 
 ### Framework versions

checkpoints/checkpoint

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