Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.28125
+      value: 0.3958333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 31846918359351296.0000
-- Accuracy: 0.2812
+- Loss: nan
+- Accuracy: 0.3958
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss          | Epoch  | Step | Validation Loss        | Accuracy |
-|:----------------------:|:------:|:----:|:----------------------:|:--------:|
-| No log                 | 0.8889 | 6    | 31846918359351296.0000 | 0.2812   |
-| 29760391893693236.0000 | 1.9259 | 13   | 31846918359351296.0000 | 0.2812   |
-| 29760391893693236.0000 | 2.6667 | 18   | 31846918359351296.0000 | 0.2812   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.8889 | 6    | nan             | 0.3958   |
+| 0.0           | 1.9259 | 13   | nan             | 0.3958   |
+| 0.0           | 2.6667 | 18   | nan             | 0.3958   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a1b63b66aba2adcf5e82b852242278972168a231d1f54252f3d0833431318fec
+oid sha256:fb05f24a6e7a0c70dc713da46761a67e4c05783466a8590f6f771cfabaf2c154
 size 44766388