Model save

README.md

@@ -32,7 +32,7 @@ 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: 2966756414651073587838976.0000
+- Loss: nan
 - Accuracy: 0.1950
 
 ## Model description
@@ -63,13 +63,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss                  | Epoch | Step | Validation Loss                | Accuracy |
-|:------------------------------:|:-----:|:----:|:------------------------------:|:--------:|
-| 2231665653697395759775744.0000 | 1.0   | 47   | 2703493994833503873662976.0000 | 0.1950   |
-| 2448978214010634004070400.0000 | 2.0   | 94   | 2805605946653523096633344.0000 | 0.1950   |
-| 2364532939574307232677888.0000 | 3.0   | 141  | 2845180265529529270796288.0000 | 0.1950   |
-| 2331862372313962142236672.0000 | 4.0   | 188  | 3271042952136692586250240.0000 | 0.1950   |
-| 2584276319587858445762560.0000 | 5.0   | 235  | 2966756414651073587838976.0000 | 0.1950   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0           | 1.0   | 47   | nan             | 0.1950   |
+| 0.0           | 2.0   | 94   | nan             | 0.1950   |
+| 0.0           | 3.0   | 141  | nan             | 0.1950   |
+| 0.0           | 4.0   | 188  | nan             | 0.1950   |
+| 0.0           | 5.0   | 235  | nan             | 0.1950   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:229804d4a20db3abea78dd6881db5423f414625a73f3324b58e1b5847eed3925
+oid sha256:333e2c98f70384b91224f113065a2550926cbddfee048da3333a23ca4eba8733
 size 94335752