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: nan
+- Loss: 34897389209777069883392.0000
 - Accuracy: 0.4890
 
 ## Model description
@@ -65,13 +65,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0           | 0.9362 | 11   | nan             | 0.4890   |
-| 0.0           | 1.9574 | 23   | nan             | 0.4890   |
-| 0.0           | 2.9787 | 35   | nan             | 0.4890   |
-| 0.0           | 4.0    | 47   | nan             | 0.4890   |
-| 0.0           | 4.6809 | 55   | nan             | 0.4890   |
+| Training Loss                | Epoch  | Step | Validation Loss              | Accuracy |
+|:----------------------------:|:------:|:----:|:----------------------------:|:--------:|
+| 33718936798882659565568.0000 | 0.9362 | 11   | 34897389209777069883392.0000 | 0.4890   |
+| 32438469749948979085312.0000 | 1.9574 | 23   | 34897389209777069883392.0000 | 0.4890   |
+| 33363246103192638849024.0000 | 2.9787 | 35   | 34897389209777069883392.0000 | 0.4890   |
+| 32954207567756639862784.0000 | 4.0    | 47   | 34897389209777069883392.0000 | 0.4890   |
+| 32794156842759294550016.0000 | 4.6809 | 55   | 34897389209777069883392.0000 | 0.4890   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5a871414532fea78da07fa7f26a48667fd08cb45b23ad4dd6e19b3acb1b36c03
+oid sha256:83218fc677ef895342b4874306a47dd0b316a563b91ba4c24f45fc17c74d9e8e
 size 94302952