wehub-resource-sync
44 lines
1.3 KiB
Bash
44 lines
1.3 KiB
Bash
# GPT-2 (350M) repro on FineWeb
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# 350M parameter model on ~30B tokens
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# => 6 * 350e6 * 31.5e9 = 6.615e19 ~= 7e19 capability model (10X 124M)
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# 60K steps on 524,288 tokens/step
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# on 8X A100 80GB SXM ($14/hr) steps in ~820ms/iter
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# => training time 60,000 steps * 820ms = 13.7 hours ~= $200 (10X 124M)
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make train_gpt2cu USE_CUDNN=1
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out_dir="log_gpt2_350M"
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done_file="$out_dir/DONE_00060000"
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# in case the training stalls or crashes, loop to resume (-y 1)
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while true; do
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# exit condition is that optimization has finished
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if [ -f "$done_file" ]; then
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echo "File $done_file exists. Exiting the loop."
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break
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fi
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# run python dev/data/fineweb.py --version 100B to prepro data
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# run python dev/data/hellaswag.py to prepro hellaswag eval
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mpirun -np 8 ./train_gpt2cu \
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-i "dev/data/fineweb100B/fineweb_train_*.bin" \
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-j "dev/data/fineweb100B/fineweb_val_*.bin" \
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-o $out_dir \
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-v 250 -s 100000 -g 144 \
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-h 1 \
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-b 64 -t 1024 \
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-d 524288 \
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-r 0 \
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-z 1 \
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-c 0.1 \
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-l 0.0003 \
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-q 0.0 \
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-u 700 \
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-n 2000 \
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-x 60000 \
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-y 1 \
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-e "d24"
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sleep 1
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done
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