update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- pubmed_qa
+model-index:
+- name: pubmedqa_roberta
+  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. -->
+
+# pubmedqa_roberta
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the pubmed_qa dataset.
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 25
+- total_train_batch_size: 200
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.79  | 2    | 1.0976          | 0.552    |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.1
+- Datasets 2.8.0
+- Tokenizers 0.11.0