update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.174
+      value: 0.199
 ---
 
 <!-- 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 [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2785
-- Accuracy: 0.174
+- Loss: 2.2724
+- Accuracy: 0.199
 
 ## Model description
 
@@ -67,18 +67,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.3027        | 0.14  | 10   | 2.3039          | 0.104    |
-| 2.2956        | 0.28  | 20   | 2.2954          | 0.112    |
-| 2.2918        | 0.43  | 30   | 2.2899          | 0.141    |
-| 2.2881        | 0.57  | 40   | 2.2824          | 0.163    |
-| 2.2835        | 0.71  | 50   | 2.2861          | 0.181    |
-| 2.2785        | 0.85  | 60   | 2.2820          | 0.169    |
-| 2.2783        | 0.99  | 70   | 2.2785          | 0.174    |
+| 2.3021        | 0.14  | 10   | 2.2994          | 0.112    |
+| 2.2929        | 0.28  | 20   | 2.2911          | 0.137    |
+| 2.2875        | 0.43  | 30   | 2.2848          | 0.151    |
+| 2.2824        | 0.57  | 40   | 2.2812          | 0.175    |
+| 2.2792        | 0.71  | 50   | 2.2758          | 0.191    |
+| 2.2766        | 0.85  | 60   | 2.2726          | 0.197    |
+| 2.2765        | 0.99  | 70   | 2.2724          | 0.199    |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 2.1.1
+- Transformers 4.31.0
+- Pytorch 1.10.1+cu111
 - Datasets 2.14.6
-- Tokenizers 0.14.1
+- Tokenizers 0.13.3