Remove conformer

1 files changed, 0 insertions, 88 deletions

diff --git a/training/conf/experiment/conformer_lines.yaml b/training/conf/experiment/conformer_lines.yaml
deleted file mode 100644
index 06e761e..0000000
--- a/training/conf/experiment/conformer_lines.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-# @package _global_
-
-defaults:
-  - override /mapping: null
-  - override /criterion: ctc
-  - override /callbacks: htr
-  - override /datamodule: iam_lines
-  - override /network: conformer
-  - override /model: null
-  - override /lr_schedulers: null
-  - override /optimizers: null
-
-epochs: &epochs 999
-num_classes: &num_classes 57
-max_output_len: &max_output_len 89
-summary: [[1, 56, 1024]]
-
-mapping: &mapping
-  mapping:
-    _target_: text_recognizer.data.mappings.EmnistMapping
-
-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:
-  radam:
-    _target_: torch.optim.RAdam
-    lr: 3.0e-4
-    betas: [0.9, 0.999]
-    weight_decay: 0
-    eps: 1.0e-8
-    parameters: network
-
-lr_schedulers:
-  network:
-    _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
-    mode: min
-    factor: 0.5
-    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/loss
-
-datamodule:
-  batch_size: 8
-  num_workers: 12
-  train_fraction: 0.9
-  pin_memory: true
-  << : *mapping
-
-model:
-  _target_: text_recognizer.models.conformer.LitConformer
-  <<: *mapping
-  max_output_len: *max_output_len
-  start_token: <s>
-  end_token: <e>
-  pad_token: <p>
-  blank_token: <b>
-
-trainer:
-  _target_: pytorch_lightning.Trainer
-  stochastic_weight_avg: true
-  auto_scale_batch_size: binsearch
-  auto_lr_find: false
-  gradient_clip_val: 0.5
-  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: 1
-  overfit_batches: 0