End of training

README.md

@@ -33,7 +33,7 @@ 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0609
+- Loss: 2.0806
 - Accuracy: 0.0
 
 ## Model description
@@ -66,11 +66,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6961        | 1.0   | 102  | 2.0057          | 0.0025   |
-| 1.5847        | 2.0   | 204  | 2.0374          | 0.0      |
-| 1.6453        | 3.0   | 306  | 2.0752          | 0.0      |
-| 1.3198        | 4.0   | 408  | 2.0695          | 0.0      |
-| 1.3111        | 5.0   | 510  | 2.0609          | 0.0      |
+| 1.477         | 1.0   | 102  | 2.0441          | 0.0      |
+| 1.3737        | 2.0   | 204  | 2.0723          | 0.0      |
+| 1.5232        | 3.0   | 306  | 2.1164          | 0.0      |
+| 1.1161        | 4.0   | 408  | 2.0944          | 0.0      |
+| 1.1238        | 5.0   | 510  | 2.0806          | 0.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9ba5f432375c34ce9a037ec2a66300d57b77c3bfa9303bd68a8c3f0aba4af563
+oid sha256:4b1b4ec0ce9e91c04c62b1d2da5c962beb01918374cc48c5639c0329b2add0a2
 size 94343948