Add new config files

1 files changed, 90 insertions, 0 deletions

diff --git a/training/conf/experiment/vqgan_htr_char_iam_lines.yaml b/training/conf/experiment/vqgan_htr_char_iam_lines.yaml
new file mode 100644
index 0000000..9f4791f
--- /dev/null
+++ b/training/conf/experiment/vqgan_htr_char_iam_lines.yaml
@@ -0,0 +1,90 @@
+# @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_: text_recognizer.criterions.label_smoothing.LabelSmoothingLoss
+  smoothing: 0.1 
+  ignore_index: 3
+    
+mapping:
+  _target_: text_recognizer.data.emnist_mapping.EmnistMapping
+  # extra_symbols: [ "\n" ]
+
+lr_schedulers:
+  network:
+    _target_: torch.optim.lr_scheduler.CosineAnnealingLR
+    T_max: 512
+    eta_min: 4.5e-6
+    last_epoch: -1
+    interval: epoch
+    monitor: val/loss
+
+datamodule:
+  _target_: text_recognizer.data.iam_lines.IAMLines
+  batch_size: 4
+  num_workers: 12
+  train_fraction: 0.8
+  augment: false
+  pin_memory: false
+
+
+# optimizers:
+#   - _target_: madgrad.MADGRAD
+#     lr: 2.0e-4
+#     momentum: 0.9
+#     weight_decay: 0
+#     eps: 1.0e-7
+#     parameters: network
+
+network:
+  _target_: text_recognizer.networks.vq_transformer.VqTransformer
+  input_dims: [1, 56, 1024]
+  encoder_dim: 32
+  hidden_dim: 32
+  dropout_rate: 0.1
+  num_classes: 58
+  pad_index: 3
+  no_grad: true
+  decoder:
+    _target_: text_recognizer.networks.transformer.Decoder
+    dim: 32
+    depth: 4
+    num_heads: 8
+    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
+  pretrained_encoder_path: "training/logs/runs/2021-09-26/23-27-57"
+
+model:
+  _target_: text_recognizer.models.vq_transformer.VqTransformerLitModel
+  start_token: <s>
+  end_token: <e>
+  pad_token: <p>
+  max_output_len: 89  # 451
+  alpha: 0.0
+
+trainer:
+  max_epochs: 512
+  # limit_train_batches: 0.1
+  # limit_val_batches: 0.1
+  # gradient_clip_val: 0.5