update model card README.md

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9988452655889145
+      value: 0.9965357967667436
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mobilenet_v2_0.75_160](https://huggingface.co/google/mobilenet_v2_0.75_160) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0030
-- Accuracy: 0.9988
+- Loss: 0.0117
+- Accuracy: 0.9965
 
 ## Model description
 
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1021        | 0.6   | 200  | 0.0679          | 0.9734   |
-| 0.0199        | 1.19  | 400  | 0.0184          | 0.9919   |
-| 0.0723        | 1.79  | 600  | 0.6625          | 0.7852   |
-| 0.0247        | 2.38  | 800  | 0.0030          | 0.9988   |
-| 0.0273        | 2.98  | 1000 | 0.0254          | 0.9885   |
-| 0.012         | 3.57  | 1200 | 0.0177          | 0.9965   |
-| 0.0142        | 4.17  | 1400 | 0.0282          | 0.9908   |
-| 0.009         | 4.76  | 1600 | 0.0189          | 0.9977   |
+| 0.0899        | 0.6   | 200  | 0.0934          | 0.9711   |
+| 0.026         | 1.19  | 400  | 0.0225          | 0.9942   |
+| 0.0689        | 1.79  | 600  | 1.5236          | 0.7032   |
+| 0.0193        | 2.38  | 800  | 0.0117          | 0.9965   |
+| 0.028         | 2.98  | 1000 | 0.0186          | 0.9919   |
+| 0.0159        | 3.57  | 1200 | 0.0150          | 0.9954   |
+| 0.0194        | 4.17  | 1400 | 0.0369          | 0.9919   |
+| 0.0081        | 4.76  | 1600 | 0.0471          | 0.9850   |
 
 
 ### Framework versions