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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2023-09-11 22:15:26 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2023-09-11 22:15:26 +0200
commit56dc112cfb649217cd624b4ff305e2db83a383b7 (patch)
tree92555f27313f8bb4650a3d8dfa1c88ac6e1bfbf8 /training/conf/experiment
parentbece39632a83ef3c8c0f49c753cbc6110d2f78b9 (diff)
Update configs
Diffstat (limited to 'training/conf/experiment')
-rw-r--r--training/conf/experiment/mammut_lines.yaml55
-rw-r--r--training/conf/experiment/vit_lines.yaml43
2 files changed, 68 insertions, 30 deletions
diff --git a/training/conf/experiment/mammut_lines.yaml b/training/conf/experiment/mammut_lines.yaml
new file mode 100644
index 0000000..e74e219
--- /dev/null
+++ b/training/conf/experiment/mammut_lines.yaml
@@ -0,0 +1,55 @@
+# @package _global_
+
+defaults:
+ - override /criterion: cross_entropy
+ - override /callbacks: htr
+ - override /datamodule: iam_lines
+ - override /network: mammut_lines
+ - override /model: lit_mammut
+ - override /lr_scheduler: cosine_annealing
+ - override /optimizer: adan
+
+tags: [lines, vit]
+epochs: &epochs 320
+ignore_index: &ignore_index 3
+# summary: [[1, 1, 56, 1024], [1, 89]]
+
+logger:
+ wandb:
+ tags: ${tags}
+
+criterion:
+ ignore_index: *ignore_index
+ # label_smoothing: 0.05
+
+
+decoder:
+ max_output_len: 89
+
+# callbacks:
+# stochastic_weight_averaging:
+# _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
+# swa_epoch_start: 0.75
+# swa_lrs: 1.0e-5
+# annealing_epochs: 10
+# annealing_strategy: cos
+# device: null
+
+lr_scheduler:
+ T_max: *epochs
+
+datamodule:
+ batch_size: 8
+ train_fraction: 0.95
+
+model:
+ max_output_len: 89
+
+trainer:
+ fast_dev_run: false
+ gradient_clip_val: 1.0
+ max_epochs: *epochs
+ accumulate_grad_batches: 1
+ limit_train_batches: 1.0
+ limit_val_batches: 1.0
+ limit_test_batches: 1.0
diff --git a/training/conf/experiment/vit_lines.yaml b/training/conf/experiment/vit_lines.yaml
index f3049ea..08ed481 100644
--- a/training/conf/experiment/vit_lines.yaml
+++ b/training/conf/experiment/vit_lines.yaml
@@ -6,11 +6,11 @@ defaults:
- override /datamodule: iam_lines
- override /network: vit_lines
- override /model: lit_transformer
- - override /lr_scheduler: null
- - override /optimizer: null
+ - override /lr_scheduler: cosine_annealing
+ - override /optimizer: adan
tags: [lines, vit]
-epochs: &epochs 128
+epochs: &epochs 320
ignore_index: &ignore_index 3
# summary: [[1, 1, 56, 1024], [1, 89]]
@@ -26,37 +26,20 @@ criterion:
decoder:
max_output_len: 89
-callbacks:
- stochastic_weight_averaging:
- _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
- swa_epoch_start: 0.75
- swa_lrs: 1.0e-5
- annealing_epochs: 10
- annealing_strategy: cos
- device: null
-
-optimizer:
- _target_: adan_pytorch.Adan
- lr: 3.0e-4
- betas: [0.02, 0.08, 0.01]
- weight_decay: 0.02
+# callbacks:
+# stochastic_weight_averaging:
+# _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
+# swa_epoch_start: 0.75
+# swa_lrs: 1.0e-5
+# annealing_epochs: 10
+# annealing_strategy: cos
+# device: null
lr_scheduler:
- _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
- mode: min
- factor: 0.8
- patience: 10
- threshold: 1.0e-4
- threshold_mode: rel
- cooldown: 0
- min_lr: 1.0e-5
- eps: 1.0e-8
- verbose: false
- interval: epoch
- monitor: val/cer
+ T_max: *epochs
datamodule:
- batch_size: 16
+ batch_size: 8
train_fraction: 0.95
model: