项目文件夹

文件

48 行
1.4 KiB
Bash

# GPT-3 (124M) repro on FineWeb
# 124M parameter model on 300B tokens
# note context length: 1024 -> 2048 for GPT-3
# => 6 * 124e6 * 300e9 = 7.44e18 ~= 2.2e20 capability model
# 565,950 steps of 524,288 tokens/step
# on 8X A100 80GB SXM ($14/hr) steps in ~300ms/iter
# => training time 565,950 * 300ms ~= 47 hours ~= $658
make train_gpt2cu USE_CUDNN=1
out_dir="log_gpt3_124M"
done_file="$out_dir/DONE_00565950"
while true; do
# exit condition is that optimization has finished
if [ -f "$done_file" ]; then
echo "File $done_file exists. Exiting the loop."
break
fi
# run python dev/data/fineweb.py --version 10B to prepro data
# run python dev/data/hellaswag.py to prepro hellaswag eval
mpirun -np 8 bash -c "
./train_gpt2cu \
-i 'dev/data/fineweb100B/fineweb_train_*.bin' \
-j 'dev/data/fineweb100B/fineweb_val_*.bin' \
-o $out_dir \
-v 250 -s 20000 -g 144 \
-h 1 \
-b 32 -t 2048 \
-d 524288 \
-r 0 \
-z 1 \
-c 0.1 \
-l 0.0006 \
-q 0.0 \
-u 700 \
-n 10000 \
-y 1 \
-x 565950 \
-e "d12" \
-pn 8 \
-pn \$OMPI_COMM_WORLD_SIZE \
-pr \$OMPI_COMM_WORLD_RANK"
sleep 1
done