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author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-09-08 23:14:23 +0200 |
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committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-09-08 23:14:23 +0200 |
commit | e1b504bca41a9793ed7e88ef14f2e2cbd85724f2 (patch) | |
tree | 70b482f890c9ad2be104f0bff8f2172e8411a2be /src/training/sweep_emnist_resnet.yml | |
parent | fe23001b6588e6e6e9e2c5a99b72f3445cf5206f (diff) |
IAM datasets implemented.
Diffstat (limited to 'src/training/sweep_emnist_resnet.yml')
-rw-r--r-- | src/training/sweep_emnist_resnet.yml | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/src/training/sweep_emnist_resnet.yml b/src/training/sweep_emnist_resnet.yml new file mode 100644 index 0000000..19a3040 --- /dev/null +++ b/src/training/sweep_emnist_resnet.yml @@ -0,0 +1,50 @@ +program: training/run_sweep.py +method: bayes +metric: + name: val_accuracy + goal: maximize +parameters: + dataset: + value: EmnistDataset + model: + value: CharacterModel + network: + value: ResidualNetwork + network_args.block_sizes: + distribution: q_uniform + min: 16 + max: 256 + q: 8 + network_args.depths: + distribution: int_uniform + min: 1 + max: 3 + network_args.levels: + distribution: int_uniform + min: 1 + max: 2 + network_args.activation: + distribution: categorical + values: + - gelu + - leaky_relu + - relu + - selu + optimizer_args.lr: + distribution: uniform + min: 1.e-5 + max: 1.e-1 + lr_scheduler_args.max_lr: + distribution: uniform + min: 1.e-5 + max: 1.e-1 + train_args.batch_size: + distribution: q_uniform + min: 32 + max: 256 + q: 8 + train_args.epochs: + value: 5 +early_terminate: + type: hyperband + min_iter: 2 |