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| author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-08-03 23:33:34 +0200 |
|---|---|---|
| committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-08-03 23:33:34 +0200 |
| commit | 07dd14116fe1d8148fb614b160245287533620fc (patch) | |
| tree | 63395d88b17a14ad453c52889fcf541e6cbbdd3e /wandb/run-20200731_165121-fetamarf/config.yaml | |
| parent | 704451318eb6b0b600ab314cb5aabfac82416bda (diff) | |
Working Emnist lines dataset.
Diffstat (limited to 'wandb/run-20200731_165121-fetamarf/config.yaml')
| -rw-r--r-- | wandb/run-20200731_165121-fetamarf/config.yaml | 111 |
1 files changed, 111 insertions, 0 deletions
diff --git a/wandb/run-20200731_165121-fetamarf/config.yaml b/wandb/run-20200731_165121-fetamarf/config.yaml new file mode 100644 index 0000000..f8813b6 --- /dev/null +++ b/wandb/run-20200731_165121-fetamarf/config.yaml @@ -0,0 +1,111 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + cli_version: 0.8.36 + framework: torch + is_jupyter_run: false + is_kaggle_kernel: false + python_version: 3.8.2 +callback_args: + desc: null + value: + Checkpoint: + monitor: val_accuracy + EarlyStopping: + min_delta: 0.0 + mode: min + monitor: val_loss + patience: 3 + WandbCallback: + log_batch_frequency: 10 + WandbImageLogger: + num_examples: 4 +callbacks: + desc: null + value: + - Checkpoint + - EarlyStopping + - WandbCallback + - WandbImageLogger +criterion: + desc: null + value: CrossEntropyLoss +criterion_args: + desc: null + value: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + desc: null + value: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: + desc: null + value: EmnistDataLoader +experiment_group: + desc: null + value: Sample Experiments +lr_scheduler: + desc: null + value: OneCycleLR +lr_scheduler_args: + desc: null + value: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: + desc: null + value: + - accuracy +model: + desc: null + value: CharacterModel +network: + desc: null + value: LeNet +network_args: + desc: null + value: + input_size: + - 28 + - 28 + output_size: 62 +optimizer: + desc: null + value: AdamW +optimizer_args: + desc: null + value: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +resume_experiment: + desc: null + value: null +train_args: + desc: null + value: + batch_size: 256 + epochs: 16 +verbosity: + desc: null + value: 2 |