update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Matthews Correlation
       type: matthews_correlation
-      value: 0.4528085001256977
+      value: 0.5474713423103301
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-cola
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
+This model is a fine-tuned version of [sciarrilli/distilbert-base-uncased-cola](https://huggingface.co/sciarrilli/distilbert-base-uncased-cola) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5047
-- Matthews Correlation: 0.4528
+- Loss: 1.2934
+- Matthews Correlation: 0.5475
 
 ## Model description
 
@@ -55,13 +55,22 @@ 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: 1
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5206        | 1.0   | 535  | 0.5047          | 0.4528               |
+| 0.3525        | 1.0   | 535  | 0.5328          | 0.4268               |
+| 0.2941        | 2.0   | 1070 | 0.6235          | 0.4805               |
+| 0.2111        | 3.0   | 1605 | 0.6743          | 0.4982               |
+| 0.1607        | 4.0   | 2140 | 0.7463          | 0.5172               |
+| 0.1487        | 5.0   | 2675 | 0.9553          | 0.4935               |
+| 0.102         | 6.0   | 3210 | 1.0206          | 0.5121               |
+| 0.0878        | 7.0   | 3745 | 1.1293          | 0.5347               |
+| 0.0605        | 8.0   | 4280 | 1.1958          | 0.5422               |
+| 0.0418        | 9.0   | 4815 | 1.2673          | 0.5449               |
+| 0.0378        | 10.0  | 5350 | 1.2934          | 0.5475               |
 
 
 ### Framework versions