Model save

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-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2994
+- Loss: 1.1886
 - Accuracy: 0.5
 
 ## Model description
@@ -69,14 +69,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.2236        | 6.6667  | 10   | 1.5671          | 0.5833   |
-| 0.2873        | 13.3333 | 20   | 1.5972          | 0.5833   |
-| 0.2203        | 20.0    | 30   | 1.4837          | 0.6667   |
-| 0.2063        | 26.6667 | 40   | 1.4543          | 0.6667   |
-| 0.1631        | 33.3333 | 50   | 1.4693          | 0.6667   |
-| 0.1546        | 40.0    | 60   | 1.4474          | 0.5833   |
-| 0.1032        | 46.6667 | 70   | 1.3604          | 0.5833   |
-| 0.1101        | 53.3333 | 80   | 1.2994          | 0.5      |
+| 0.0594        | 6.6667  | 10   | 1.3086          | 0.5833   |
+| 0.0973        | 13.3333 | 20   | 1.3523          | 0.5      |
+| 0.068         | 20.0    | 30   | 1.2428          | 0.5833   |
+| 0.0671        | 26.6667 | 40   | 1.2280          | 0.5833   |
+| 0.0527        | 33.3333 | 50   | 1.2677          | 0.5833   |
+| 0.0592        | 40.0    | 60   | 1.2846          | 0.5833   |
+| 0.0446        | 46.6667 | 70   | 1.2210          | 0.5833   |
+| 0.0565        | 53.3333 | 80   | 1.1886          | 0.5      |
 
 
 ### Framework versions

runs/Nov11_11-43-44_9dbf826d7e63/events.out.tfevents.1731325602.9dbf826d7e63.838.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:542bdb3a28a8d85ebde7974c858e068ede5a0dea69dc96793ba82eb323eafaa3
-size 9466
+oid sha256:b9edec3f1a0db234097424852856c70fd58e6b0d31643852b8eda86c5268a874
+size 9814