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-rw-r--r--training/conf/sweep/conv_transformer.yaml29
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diff --git a/training/conf/sweep/conv_transformer.yaml b/training/conf/sweep/conv_transformer.yaml
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--- a/training/conf/sweep/conv_transformer.yaml
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-# @package _global_
-
-# Example:
-# python main.py -m sweep=lines experiment=conv_transformer_lines
-
-defaults:
- - override /hydra/sweeper: optuna
-
-optimized_metric: train/loss
-
-hydra:
- mode: "MULTIRUN"
- sweeper:
- _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper
- storage: null
- study_name: null
- n_jobs: 1
- direction: minimize
- n_trials: 20
- sampler:
- _target_: optuna.samplers.TPESampler
- seed: 4711
- n_startup_trials: 5
-
- params:
- # optimizer: interval(0.0003, 0.001)
- network.decoder.decoder.depth: choice(4, 8, 10)
- network.decoder.decoder.block.self_attn.num_heads: choice(4, 6, 8)
- network.decoder.decoder.block.cross_attn.num_heads: choice(6, 8, 12)