update model card README.md

README.md

@@ -1,22 +1,38 @@
 ---
 license: apache-2.0
 tags:
-- generated_from_keras_callback
+- 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: 0.6107419227947289
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+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:
-- Train Loss: 0.2914
-- Validation Loss: 0.4224
-- Epoch: 1
+- Loss: 0.8073
+- Matthews Correlation: 0.6107
 
 ## Model description
 
@@ -35,20 +51,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: float32
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 0.4996     | 0.4664          | 0     |
-| 0.2914     | 0.4224          | 1     |
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| 0.4681        | 1.0   | 1069 | 0.5613          | 0.4892               |
+| 0.321         | 2.0   | 2138 | 0.6681          | 0.5851               |
+| 0.1781        | 3.0   | 3207 | 0.8073          | 0.6107               |
 
 
 ### Framework versions
 
 - Transformers 4.26.0
-- TensorFlow 2.9.2
+- Pytorch 1.13.1+cu116
 - Datasets 2.9.0
 - Tokenizers 0.13.2