From 0c578ab3e79c00389f6aab79329a7652f2ce6f22 Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Thu, 30 Sep 2021 23:11:11 +0200
Subject: Add new config files

---
 training/conf/experiment/cnn_htr_char_lines.yaml | 109 +++++++++++++++++++++++
 1 file changed, 109 insertions(+)
 create mode 100644 training/conf/experiment/cnn_htr_char_lines.yaml

(limited to 'training/conf/experiment/cnn_htr_char_lines.yaml')

diff --git a/training/conf/experiment/cnn_htr_char_lines.yaml b/training/conf/experiment/cnn_htr_char_lines.yaml
new file mode 100644
index 0000000..08d9282
--- /dev/null
+++ b/training/conf/experiment/cnn_htr_char_lines.yaml
@@ -0,0 +1,109 @@
+# @package _global_
+
+defaults:
+  - override /mapping: null
+  - override /criterion: null
+  - override /datamodule: null
+  - override /network: null
+  - override /model: null
+  - override /lr_schedulers: null
+  - override /optimizers: null
+
+
+criterion:
+  _target_: torch.nn.CrossEntropyLoss
+  ignore_index: 3
+    
+mapping:
+  _target_: text_recognizer.data.emnist_mapping.EmnistMapping
+  # extra_symbols: [ "\n" ]
+
+optimizers:
+  madgrad:
+    _target_: madgrad.MADGRAD
+    lr: 1.0e-4
+    momentum: 0.9
+    weight_decay: 0
+    eps: 1.0e-6
+
+    parameters: network
+
+lr_schedulers:
+  network:
+    _target_: torch.optim.lr_scheduler.CosineAnnealingLR
+    T_max: 1024
+    eta_min: 4.5e-6
+    last_epoch: -1
+    interval: epoch
+    monitor: val/loss
+
+datamodule:
+  _target_: text_recognizer.data.iam_lines.IAMLines
+  batch_size: 24
+  num_workers: 12
+  train_fraction: 0.8
+  augment: true
+  pin_memory: false
+
+network:
+  _target_: text_recognizer.networks.conv_transformer.ConvTransformer
+  input_dims: [1, 56, 1024]
+  hidden_dim: 128
+  encoder_dim: 1280
+  dropout_rate: 0.2
+  num_classes: 58
+  pad_index: 3
+  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
+  decoder:
+    _target_: text_recognizer.networks.transformer.Decoder
+    dim: 128
+    depth: 3 
+    num_heads: 4
+    attn_fn: text_recognizer.networks.transformer.attention.Attention
+    attn_kwargs:
+      dim_head: 32
+      dropout_rate: 0.2
+    norm_fn: torch.nn.LayerNorm
+    ff_fn: text_recognizer.networks.transformer.mlp.FeedForward
+    ff_kwargs:
+      dim_out: null
+      expansion_factor: 4
+      glu: true
+      dropout_rate: 0.2
+    cross_attend: true
+    pre_norm: true
+    rotary_emb: null
+
+model:
+  _target_: text_recognizer.models.transformer.TransformerLitModel
+  max_output_len: 89
+  start_token: <s>
+  end_token: <e>
+  pad_token: <p>
+
+trainer:
+  _target_: pytorch_lightning.Trainer
+  stochastic_weight_avg: false
+  auto_scale_batch_size: binsearch
+  auto_lr_find: false
+  gradient_clip_val: 0
+  fast_dev_run: false
+  gpus: 1
+  precision: 16
+  max_epochs: 1024
+  terminate_on_nan: true
+  weights_summary: top
+  limit_train_batches: 1.0 
+  limit_val_batches: 1.0
+  limit_test_batches: 1.0
+  resume_from_checkpoint: null
+  accumulate_grad_batches: 4
+  overfit_batches: 0.0
+
+# summary: [[1, 1, 56, 1024], [1, 89]]
-- 
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