End of training

README.md

@@ -18,8 +18,8 @@ should 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:
-- Loss: 0.0825
-- Accuracy: 0.9705
+- Loss: 0.0769
+- Accuracy: 0.9716
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4162        | 1.0   | 586  | 0.1376          | 0.9562   |
-| 0.1484        | 2.0   | 1172 | 0.0977          | 0.9645   |
-| 0.1142        | 3.0   | 1758 | 0.0877          | 0.9665   |
-| 0.1062        | 4.0   | 2344 | 0.0882          | 0.9695   |
-| 0.1027        | 5.0   | 2930 | 0.0825          | 0.9705   |
+| 0.3965        | 1.0   | 586  | 0.1360          | 0.9560   |
+| 0.1441        | 2.0   | 1172 | 0.0976          | 0.9624   |
+| 0.1113        | 3.0   | 1758 | 0.0805          | 0.9692   |
+| 0.1061        | 4.0   | 2344 | 0.0844          | 0.9673   |
+| 0.1002        | 5.0   | 2930 | 0.0769          | 0.9716   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:69f9030e0bf693b832997660cd8c4c03a44d7c460473f5853bd03e17dd3c89a5
+oid sha256:610fd3d2b12311f196ab6744f32c9911089cdb4cea0d64eae26a85434ae171ca
 size 94302952