update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6172839506172839
+      value: 0.9382716049382716
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7992
-- Accuracy: 0.6173
+- Loss: 0.4685
+- Accuracy: 0.9383
 
 ## Model description
 
@@ -60,15 +60,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2191        | 0.97  | 23   | 2.0645          | 0.4198   |
-| 1.9791        | 1.97  | 46   | 1.8731          | 0.5926   |
-| 1.7559        | 2.97  | 69   | 1.7992          | 0.6173   |
+| 1.5583        | 0.97  | 23   | 1.6008          | 0.7160   |
+| 1.2953        | 1.97  | 46   | 1.2957          | 0.7531   |
+| 0.9488        | 2.97  | 69   | 1.0720          | 0.8148   |
+| 0.7036        | 3.97  | 92   | 0.8965          | 0.8642   |
+| 0.5446        | 4.97  | 115  | 0.7574          | 0.9383   |
+| 0.4113        | 5.97  | 138  | 0.6522          | 0.9383   |
+| 0.2259        | 6.97  | 161  | 0.5720          | 0.9383   |
+| 0.1863        | 7.97  | 184  | 0.5076          | 0.9506   |
+| 0.1443        | 8.97  | 207  | 0.4795          | 0.9383   |
+| 0.1289        | 9.97  | 230  | 0.4685          | 0.9383   |
 
 
 ### Framework versions