Ddulaev/diploma successful exps #3
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refactored sasrec train_sasrec.py to ipynb format (datasphere tested)
tiger_baseline full run added and tested
tensorboards for sasrec & tiger + rq-vae runs
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suggested changes
Nov 15, 2025
| "d_kv": 64, | ||
| "dropout": 0.1, | ||
| "activation": "relu", | ||
| "num_beams": 100, |
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Можно уменьшить до 30, это ускорит код и результаты должны не сильно поменяться
| "sampler_type": "tiger" | ||
| }, | ||
| "dataloader": { | ||
| "train_batch_size": 256, |
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В твоих экспах ты можешь брать больший batch size, чтобы лучше gpu утилизировать, главное чтобы на всех экспах он был один
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| if item_frequency_counts is None: | ||
| # We do not yet know final max, so start conservatively and grow if needed | ||
| item_frequency_counts = {} |
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Непонятно почему это бы не убрать? В чем логика делать выше None?
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Пожалуйста отредачь ноутбуки чтобы их можно было корректно сравнивать, убери свою метаинформацию о выходах и запусках.
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