summaryrefslogtreecommitdiff
path: root/src/training/experiments/sample_experiment.yml
diff options
context:
space:
mode:
authoraktersnurra <gustaf.rydholm@gmail.com>2020-07-22 23:18:08 +0200
committeraktersnurra <gustaf.rydholm@gmail.com>2020-07-22 23:18:08 +0200
commitf473456c19558aaf8552df97a51d4e18cc69dfa8 (patch)
tree0d35ce2410ff623ba5fb433d616d95b67ecf7a98 /src/training/experiments/sample_experiment.yml
parentad3bd52530f4800d4fb05dfef3354921f95513af (diff)
Working training loop and testing of trained CharacterModel.
Diffstat (limited to 'src/training/experiments/sample_experiment.yml')
-rw-r--r--src/training/experiments/sample_experiment.yml56
1 files changed, 56 insertions, 0 deletions
diff --git a/src/training/experiments/sample_experiment.yml b/src/training/experiments/sample_experiment.yml
new file mode 100644
index 0000000..e8d5023
--- /dev/null
+++ b/src/training/experiments/sample_experiment.yml
@@ -0,0 +1,56 @@
+experiment_group: Sample Experiments
+experiments:
+ - dataloader: EmnistDataLoader
+ data_loader_args:
+ splits: [train, val]
+ sample_to_balance: true
+ subsample_fraction: null
+ transform: null
+ target_transform: null
+ batch_size: 256
+ shuffle: true
+ num_workers: 8
+ cuda: true
+ seed: 4711
+ model: CharacterModel
+ metrics: [accuracy]
+ network: MLP
+ network_args:
+ input_size: 784
+ output_size: 62
+ num_layers: 3
+ # network: LeNet
+ # network_args:
+ # input_size: [28, 28]
+ # output_size: 62
+ train_args:
+ batch_size: 256
+ epochs: 16
+ val_metric: accuracy
+ criterion: CrossEntropyLoss
+ criterion_args:
+ weight: null
+ ignore_index: -100
+ reduction: mean
+ # optimizer: RMSprop
+ # optimizer_args:
+ # lr: 1.e-3
+ # alpha: 0.9
+ # eps: 1.e-7
+ # momentum: 0
+ # weight_decay: 0
+ # centered: false
+ optimizer: AdamW
+ optimizer_args:
+ lr: 1.e-2
+ betas: [0.9, 0.999]
+ eps: 1.e-08
+ weight_decay: 0
+ amsgrad: false
+ # lr_scheduler: null
+ lr_scheduler: OneCycleLR
+ lr_scheduler_args:
+ max_lr: 1.e-3
+ epochs: 16
+ verbosity: 2 # 0, 1, 2
+ resume_experiment: null