End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8508356545961003
+      value: 0.8612813370473538
 ---
 
 <!-- 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 [google/efficientnet-b0](https://huggingface.co/google/efficientnet-b0) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4729
-- Accuracy: 0.8508
+- Loss: 0.4941
+- Accuracy: 0.8613
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2899        | 1.0   | 781  | 0.7256          | 0.8010   |
-| 0.1782        | 2.0   | 1562 | 0.4100          | 0.8802   |
-| 0.1212        | 3.0   | 2343 | 0.4729          | 0.8508   |
+| 0.317         | 1.0   | 781  | 0.9029          | 0.7535   |
+| 0.2009        | 2.0   | 1562 | 0.4094          | 0.8840   |
+| 0.1405        | 3.0   | 2343 | 0.4941          | 0.8613   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6a9e59bebd8bd3855933d028108e05e546b81ecd4240277058623e75169b58e1
+oid sha256:ae5de5fae04034a447639b72740b504ef724deab1fb74b47c543cc4c0c9a5345
 size 17591292