Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.46875
+      value: 0.30833333333333335
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -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: nan
-- Accuracy: 0.4688
+- Accuracy: 0.3083
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.8889 | 6    | nan             | 0.4688   |
-| 0.0           | 1.9259 | 13   | nan             | 0.4688   |
-| 0.0           | 2.6667 | 18   | nan             | 0.4688   |
+| 0.0           | 0.9804 | 25   | nan             | 0.3083   |
+| 0.0           | 2.0    | 51   | nan             | 0.3083   |
+| 0.0           | 2.9412 | 75   | nan             | 0.3083   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2db2617ed749a56f9ac4db914e7e12c6d635377952befced434f785aaea85a83
+oid sha256:074e35dfd177e18711b6967b5661a9a2a8fe123ac1f4baf62bbd4cb0f0c3dfad
 size 44766388