Create README.md

README.md

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+[bioformer-cased-v1.0](https://huggingface.co/bioformers/bioformer-cased-v1.0) fined-tuned on the [SQuAD1](https://rajpurkar.github.io/SQuAD-explorer) dataset for 3 epochs.
+
+The fine-tuning process was performed on a single P100 GPUs (16GB). The hyperparameters are:
+
+```
+max_seq_length=512
+per_device_train_batch_size=16
+gradient_accumulation_steps=1
+total train batch size (w. parallel, distributed & accumulation) = 16
+learning_rate=3e-5
+num_train_epochs=2
+```
+
+## Evaluation results
+
+```
+"eval_exact_match": 78.55250709555345
+"eval_f1": 85.91482799690257
+```
+
+Bioformer's performance is on par with [DistilBERT](https://arxiv.org/pdf/1910.01108.pdf) (EM/F1: 77.7/85.8), 
+although Bioformer was only pretrained on biomedical texts. 
+
+
+## Speed
+In our experiments, the inference speed of Bioformer is 3x as fast as BERT-base/BioBERT/PubMedBERT, and is 40% faster than DistilBERT. 
+
+