Create README.md

README.md

@@ -0,0 +1,30 @@
+---
+datasets:
+- Tevatron/msmarco-passage
+---
+Trained with Tevatron `reranker` branch; 
+
+script:
+```
+epoch=3
+bs=32
+gradient_accumulation_steps=8
+real_bs=$(( $bs / $gradient_accumulation_steps ))
+
+CUDA_VISIBLE_DEVICES=0 python examples/reranker/reranker_train.py \
+  --output_dir reranker_xlmr.bs-$bs.epoch-$epoch \
+  --model_name_or_path xlm-roberta-large \
+  --save_steps 20000 \
+  --dataset_name Tevatron/msmarco-passage \
+  --fp16 \
+  --per_device_train_batch_size $real_bs \
+  --gradient_accumulation_steps $gradient_accumulation_steps \
+  --train_n_passages 8 \
+  --learning_rate 5e-6 \
+  --q_max_len 16 \
+  --p_max_len 128 \
+  --num_train_epochs $epoch \
+  --logging_steps 500 \
+  --dataloader_num_workers 4 \
+  --overwrite_output_dir
+```