chore: import upstream snapshot with attribution

2026-07-13 13:24:13 +08:00
commit 1037506f2e
6050 changed files with 1731598 additions and 0 deletions
@@ -0,0 +1,54 @@
+#!/usr/bin/env bash
+
+set -x
+set -e
+
+DIR="$( cd "$( dirname "$0" )" && cd .. && pwd )"
+echo "working directory: ${DIR}"
+
+if [ -z "$OUTPUT_DIR" ]; then
+  OUTPUT_DIR="${DIR}/checkpoint/rlm_$(date +%F-%H%M.%S)"
+fi
+if [ -z "$DATA_DIR" ]; then
+  DATA_DIR="${DIR}/data/msmarco_bm25_official/"
+fi
+
+mkdir -p "${OUTPUT_DIR}"
+
+PROC_PER_NODE=$(nvidia-smi --list-gpus | wc -l)
+
+# python -u -m torch.distributed.launch --nproc_per_node ${PROC_PER_NODE} src/train_rlm.py \
+deepspeed src/train_rlm.py --deepspeed ds_config.json \
+    --model_name_or_path bert-base-uncased \
+    --per_device_train_batch_size 64 \
+    --per_device_eval_batch_size 64 \
+    --gradient_accumulation_steps 4 \
+    --seed 45678 \
+    --do_train \
+    --do_eval \
+    --fp16 \
+    --train_file "${DATA_DIR}/passages.jsonl.gz" \
+    --rlm_max_length 144 \
+    --rlm_encoder_mask_prob 0.3 \
+    --rlm_decoder_mask_prob 0.5 \
+    --rlm_generator_model_name google/electra-base-generator \
+    --rlm_freeze_generator True \
+    --rlm_generator_mlm_weight 0.2 \
+    --all_use_mask_token True \
+    --dataloader_num_workers 1 \
+    --max_steps 80000 \
+    --learning_rate 3e-4 \
+    --warmup_steps 4000 \
+    --weight_decay 0.0 \
+    --remove_unused_columns False \
+    --logging_steps 50 \
+    --report_to none \
+    --output_dir "${OUTPUT_DIR}" \
+    --save_total_limit 20 \
+    --save_strategy steps \
+    --save_steps 10000 \
+    --evaluation_strategy steps \
+    --eval_steps 10000 \
+    --data_dir "${DATA_DIR}" \
+    --overwrite_output_dir \
+    --disable_tqdm True "$@"