update model card README.md

README.md

@@ -2,9 +2,26 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+datasets:
+- glue
+metrics:
+- matthews_correlation
 model-index:
 - name: bert-fine-tuned-cola
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: cola
+      split: validation
+      args: cola
+    metrics:
+    - name: Matthews Correlation
+      type: matthews_correlation
+      value: 0.554912808282685
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-fine-tuned-cola
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8520
+- Matthews Correlation: 0.5549
 
 ## Model description
 
@@ -39,8 +59,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| 0.4802        | 1.0   | 1069 | 0.5337          | 0.4923               |
+| 0.3293        | 2.0   | 2138 | 0.6642          | 0.5521               |
+| 0.1938        | 3.0   | 3207 | 0.8520          | 0.5549               |
+
+
 ### Framework versions
 
 - Transformers 4.26.1
 - Pytorch 1.13.1+cu116
+- Datasets 2.10.1
 - Tokenizers 0.13.2