update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- matthews_correlation
+model-index:
+- name: distilbert-base-uncased-finetuned-cola
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      args: cola
+    metrics:
+    - name: Matthews Correlation
+      type: matthews_correlation
+      value: 0.5343023846000738
+---
+
+<!-- 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. -->
+
+# distilbert-base-uncased-finetuned-cola
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7272
+- Matthews Correlation: 0.5343
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| 0.5219        | 1.0   | 535  | 0.5340          | 0.4215               |
+| 0.3467        | 2.0   | 1070 | 0.5131          | 0.5181               |
+| 0.2331        | 3.0   | 1605 | 0.6406          | 0.5040               |
+| 0.1695        | 4.0   | 2140 | 0.7272          | 0.5343               |
+| 0.1212        | 5.0   | 2675 | 0.8399          | 0.5230               |
+
+
+### Framework versions
+
+- Transformers 4.12.3
+- Pytorch 1.9.0+cu111
+- Datasets 1.15.1
+- Tokenizers 0.10.3