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{ |
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"collection": "Combination[irds:neumarco\/zh\/train:docs+irds:neumarco\/fa\/train:docs+irds:neumarco\/ru\/train:docs]", |
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"queries": "irds:msmarco-passage\/train:queries", |
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"root": "\/expscratch\/eyang\/workspace\/plaid-aux\/experiments", |
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"experiment": "mtt-tdistill", |
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"index_root": null, |
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"name": "multi-KLD-shuf-5e-6\/64bat.6way\/mt5xxl-monot5-mmarco-engeng\/64bat.6way", |
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"meta": { |
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"hostname": "r10n01", |
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"git_branch": "eugene-training", |
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"git_hash": "220bdf8155f0615e1bb2d997d8efe924ffe806b5", |
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"git_commit_datetime": "2023-09-29 16:36:59-04:00", |
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"current_datetime": "Oct 26, 2023 ; 10:29AM EDT (-0400)", |
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"cmd": "train.py --model_name xlm-roberta-large --training_triples \/expscratch\/eyang\/workspace\/plaid-aux\/training_triples\/msmarco-passages\/triples_mt5xxl-monot5-mmarco-engeng.jsonl --training_queries msmarco-passage\/train --training_collection neumarco\/zh\/train neumarco\/fa\/train neumarco\/ru\/train --maxsteps 400000 --learning_rate 5e-6 --kd_loss KLD --per_device_batch_size 8 --nway 6 --run_tag multi-KLD-shuf-5e-6\/64bat.6way\/mt5xxl-monot5-mmarco-engeng --experiment mtt-tdistill", |
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"version": "colbert-v0.4" |
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} |
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} |
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