1 files changed, 103 insertions, 0 deletions
diff --git a/training/conf/experiment/barlow_twins_paragraphs.yaml b/training/conf/experiment/barlow_twins_paragraphs.yaml
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+++ b/training/conf/experiment/barlow_twins_paragraphs.yaml
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+# @package _global_
+
+defaults:
+  - override /criterion: null
+  - override /datamodule: null
+  - override /network: null
+  - override /model: null
+  - override /lr_schedulers: null
+  - override /optimizers: null
+
+epochs: &epochs 1000
+summary: [[1, 1, 576, 640]]
+
+criterion:
+  _target_: text_recognizer.criterions.barlow_twins.BarlowTwinsLoss
+  dim: 512
+  lambda_: 3.9e-3
+
+# 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
+
+optimizers:
+  madgrad:
+    _target_: madgrad.MADGRAD
+    lr: 1.0e-3
+    momentum: 0.9
+    weight_decay: 1.0e-6
+    eps: 1.0e-6
+    parameters: network
+
+lr_schedulers:
+  network:
+    _target_: torch.optim.lr_scheduler.OneCycleLR
+    max_lr: 1.0e-1
+    total_steps: null
+    epochs: *epochs
+    steps_per_epoch: 5053
+    pct_start: 0.03
+    anneal_strategy: cos
+    cycle_momentum: true
+    base_momentum: 0.85
+    max_momentum: 0.95
+    div_factor: 25
+    final_div_factor: 1.0e4
+    three_phase: false
+    last_epoch: -1
+    verbose: false
+    # Non-class arguments
+    interval: step
+    monitor: val/loss
+
+datamodule:
+  _target_: text_recognizer.data.iam_extended_paragraphs.IAMExtendedParagraphs
+  batch_size: 4
+  num_workers: 12
+  train_fraction: 0.9
+  pin_memory: true
+  transform: transform/barlow_paragraphs.yaml
+  test_transform: transform/barlow_paragraphs.yaml
+  mapping:
+    _target_: text_recognizer.data.mappings.emnist_mapping.EmnistMapping
+    extra_symbols: [ "\n" ]
+
+network:
+  _target_: text_recognizer.networks.barlow_twins.network.BarlowTwins
+  encoder:
+    _target_: text_recognizer.networks.encoders.efficientnet.EfficientNet
+    arch: b0
+    out_channels: 1280
+    stochastic_dropout_rate: 0.2
+    bn_momentum: 0.99
+    bn_eps: 1.0e-3
+  projector:
+    _target_: text_recognizer.networks.barlow_twins.projector.Projector
+    dims: [1280, 512, 512, 512]
+
+model:
+  _target_: text_recognizer.models.barlow_twins.BarlowTwinsLitModel
+
+trainer:
+  _target_: pytorch_lightning.Trainer
+  stochastic_weight_avg: true
+  auto_scale_batch_size: binsearch
+  auto_lr_find: false
+  gradient_clip_val: 0.0
+  fast_dev_run: false
+  gpus: 1
+  precision: 16
+  max_epochs: *epochs
+  terminate_on_nan: true
+  weights_summary: null
+  limit_train_batches: 1.0 
+  limit_val_batches: 1.0
+  limit_test_batches: 1.0
+  resume_from_checkpoint: null
+  accumulate_grad_batches: 128
+  overfit_batches: 0