End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6347497903270898
+      value: 0.6215054514956667
 ---
 
 <!-- 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 [shi-labs/nat-mini-in1k-224](https://huggingface.co/shi-labs/nat-mini-in1k-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4313
-- Accuracy: 0.6347
+- Loss: 1.4627
+- Accuracy: 0.6215
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2585        | 1.0   | 2015 | 1.1175          | 0.6088   |
-| 0.1938        | 2.0   | 4031 | 1.3762          | 0.6270   |
-| 0.1452        | 3.0   | 6045 | 1.4313          | 0.6347   |
+| 0.2672        | 1.0   | 2015 | 1.0553          | 0.6028   |
+| 0.1972        | 2.0   | 4031 | 1.1869          | 0.6437   |
+| 0.1732        | 3.0   | 6045 | 1.4627          | 0.6215   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9fdc1fc2aa18159fdee90c76b8f1db5c975f6b123489ae4c395631156af00ac8
+oid sha256:af7368b5f7fc4f5bf0ad9b57ccb984d05af587bac009d726c83625fd772ab513
 size 77928008