update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Matthews Correlation
       type: matthews_correlation
-      value: 0.6044964516136625
+      value: 0.5233331906511532
 ---
 
 <!-- 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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7568
-- Matthews Correlation: 0.6045
+- Loss: 0.4712
+- Matthews Correlation: 0.5233
 
 ## Model description
 
@@ -57,22 +57,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.4852        | 1.0   | 535  | 0.4832          | 0.5228               |
-| 0.2851        | 2.0   | 1070 | 0.4959          | 0.5856               |
-| 0.1812        | 3.0   | 1605 | 0.6463          | 0.5702               |
-| 0.1226        | 4.0   | 2140 | 0.7568          | 0.6045               |
-| 0.0821        | 5.0   | 2675 | 0.8841          | 0.5938               |
+| 0.4783        | 1.0   | 535  | 0.4712          | 0.5233               |
 
 
 ### Framework versions
 
 - Transformers 4.28.1
-- Pytorch 2.0.0+cu118
+- Pytorch 2.0.0
 - Datasets 2.11.0
 - Tokenizers 0.13.3