update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- matthews_correlation
+model-index:
+- name: roberta-base-finetuned-cola
+  results: []
+---
+
+<!-- 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. -->
+
+# roberta-base-finetuned-cola
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4497
+- Matthews Correlation: 0.6272
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: IPU
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- total_eval_batch_size: 20
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- training precision: Mixed Precision
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| 0.4453        | 1.0   | 133  | 0.4348          | 0.5391               |
+| 0.3121        | 2.0   | 266  | 0.3938          | 0.5827               |
+| 0.1149        | 3.0   | 399  | 0.4497          | 0.6272               |
+| 0.1194        | 4.0   | 532  | 0.5005          | 0.6076               |
+| 0.1639        | 5.0   | 665  | 0.5645          | 0.5943               |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cpu
+- Datasets 2.4.0
+- Tokenizers 0.12.1