Update README.md

README.md

@@ -2,4 +2,38 @@
 
 F1 on dev (from paper)[https://arxiv.org/pdf/1810.04805v2.pdf] is 81.9, we reach 81.58.
 
-```{'exact': 78.6321906847469,'f1': 81.5816656803201,'total': 11873,'HasAns_exact': 73.73481781376518, 'HasAns_f1': 79.64222615088413, 'HasAns_total': 5928, 'NoAns_exact': 83.51555929352396, 'NoAns_f1': 83.51555929352396, 'NoAns_total': 5945, 'best_exact': 78.6321906847469, 'best_exact_thresh': 0.0, 'best_f1': 81.58166568032006, 'best_f1_thresh': 0.0, 'epoch': 1.59}```
+```
+{'exact': 78.6321906847469,
+'f1': 81.5816656803201,
+'total': 11873,
+'HasAns_exact': 73.73481781376518,
+ 'HasAns_f1': 79.64222615088413,
+ 'HasAns_total': 5928,
+ 'NoAns_exact': 83.51555929352396,
+ 'NoAns_f1': 83.51555929352396,
+ 'NoAns_total': 5945,
+ 'best_exact': 78.6321906847469,
+ 'best_exact_thresh': 0.0,
+ 'best_f1': 81.58166568032006,
+ 'best_f1_thresh': 0.0,
+ 'epoch': 1.59}
+```
+
+
+```
+python run_qa.py \
+  --model_name_or_path bert-large-uncased \
+  --dataset_name squad_v2 \
+  --do_train \
+  --do_eval \
+  --save_steps 2500 \
+  --eval_steps 2500 \
+  --evaluation_strategy steps \
+  --per_device_train_batch_size 12 \
+  --learning_rate 3e-5 \
+  --num_train_epochs 2 \
+  --max_seq_length 384 \
+  --doc_stride 128 \
+  --output_dir bert-large-uncased-squadv2 \
+  --version_2_with_negative 1
+  ```