Create README.md

README.md

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+---
+datasets:
+- Tevatron/msmarco-passage
+---
+Using tevatron, unpushed code
+
+```
+bs=32
+lr=7e-6
+
+gradient_accumulation_steps=1
+real_bs=$(($bs / $gradient_accumulation_steps))
+echo "real_bs: $real_bs"
+echo "expected_bs: $bs"
+sleep 1s
+
+epoch=5
+teacher=crystina-z/monoXLMR.pft-msmarco
+
+dataset=Tevatron/msmarco-passage && dataset_name=enMarco
+output_dir=margin-mse.distill/teacher-$(basename $teacher).student-mbert.epoch-${epoch}.${bs}x2.lr.$lr.data-$dataset_name.$commit_id
+mkdir -p $output_dir
+
+CUDA_VISIBLE_DEVICES=$device WANDB_PROJECT=distill \
+python examples/distill_marginmse/distil_train.py \
+  --output_dir $output_dir \
+  --model_name_or_path bert-base-multilingual-cased \
+  --teacher_model_name_or_path $teacher \
+  --save_steps 1000 \
+  --dataset_name $dataset \
+  --fp16 \
+  --per_device_train_batch_size $real_bs \
+  --gradient_accumulation_steps 4 \
+  --train_n_passages 2 \
+  --learning_rate $lr \
+  --q_max_len 16 \
+  --p_max_len 128 \
+  --num_train_epochs $epoch \
+  --logging_steps 500 \
+  --overwrite_output_dir \
+  --dataloader_num_workers 4 \
+```