End of training

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0013
-- Accuracy: 1.0
+- Loss: 0.0825
+- Accuracy: 0.9705
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 0.0057          | 1.0      |
-| No log        | 2.0   | 250  | 0.0030          | 1.0      |
-| No log        | 3.0   | 375  | 0.0017          | 1.0      |
-| 0.0066        | 4.0   | 500  | 0.0014          | 1.0      |
-| 0.0066        | 5.0   | 625  | 0.0013          | 1.0      |
+| 0.4162        | 1.0   | 586  | 0.1376          | 0.9562   |
+| 0.1484        | 2.0   | 1172 | 0.0977          | 0.9645   |
+| 0.1142        | 3.0   | 1758 | 0.0877          | 0.9665   |
+| 0.1062        | 4.0   | 2344 | 0.0882          | 0.9695   |
+| 0.1027        | 5.0   | 2930 | 0.0825          | 0.9705   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a319a07fab2b8f6a38cd7a4118ab3e33b7d6fd6adeed856c7bd33eff09d16fab
+oid sha256:69f9030e0bf693b832997660cd8c4c03a44d7c460473f5853bd03e17dd3c89a5
 size 94302952