wehub-resource-sync
25 lines
1.7 KiB
Bash
25 lines
1.7 KiB
Bash
#exp_dir=llama3.1.8b.mathscale4o.process-dpo.iter0.A100.dp8.v2.2.s42/checkpoint-1200/
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#exp_dir=llama3.1.8b.numina.process-dpo-sc-p0.5.iter1.split01.H100.dp8.v1.0.s42/checkpoint-200/
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exp_dir=llama3.1.8b.numina.process-dpo-sc-p0.5.iter2.split01-23.H100.dp8.v1.4.s42/checkpoint-100/
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#python scripts/math_scale/analyze/get_output_frequency.py \
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# --input_file "../msranlpintern/reward_modeling/experiments/${exp_dir}/math/math.test.v1.1.0shot.n1.tem1.0.p1.0.0-of-1.s*[0-9].json" \
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# --output_file ../msranlpintern/reward_modeling/experiments/${exp_dir}/math/math.test.v1.1.0shot.n64.tem1.0.p1.0.analyze.output_freq.json \
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# --n 128 --ps "0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0"
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#python scripts/math_scale/analyze/freq2image.py \
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# --input_file ../msranlpintern/reward_modeling/experiments/${exp_dir}/math/math.test.v1.1.0shot.n64.tem1.0.p1.0.analyze.output_freq.json \
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# --output_file ./math.test.v1.1.0shot.n64.tem1.0.p1.0.analyze.output_freq.iter0.png
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#exp_dir=llama3.1.8b.numina.process-dpo-sc-p0.5.iter1.split01.H100.dp8.v1.0.s42/checkpoint-200/
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#python scripts/math_scale/analyze/freq2image.py \
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# --input_file ../msranlpintern/reward_modeling/experiments/${exp_dir}/math/math.test.v1.1.0shot.n64.tem1.0.p1.0.analyze.output_freq.json \
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# --output_file ./math.test.v1.1.0shot.n64.tem1.0.p1.0.analyze.output_freq.iter1.png
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#
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#exp_dir=llama3.1.8b.numina.process-dpo-sc-p0.5.iter2.split01-23.H100.dp8.v1.4.s42/checkpoint-100/
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python scripts/math_scale/analyze/freq2image.py \
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--input_file ../msranlpintern/reward_modeling/experiments/${exp_dir}/math/math.test.v1.1.0shot.n64.tem1.0.p1.0.analyze.output_freq.json \
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--output_file ./math.test.v1.1.0shot.n64.tem1.0.p1.0.analyze.output_freq.iter2.png
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