Update configs

1 files changed, 3 insertions, 100 deletions

diff --git a/training/conf/experiment/conv_transformer_paragraphs.yaml b/training/conf/experiment/conv_transformer_paragraphs.yaml
index afa1785..cc81645 100644
--- a/training/conf/experiment/conv_transformer_paragraphs.yaml
+++ b/training/conf/experiment/conv_transformer_paragraphs.yaml
@@ -1,31 +1,23 @@
----
 # @package _global_
 
 defaults:
-  - override /mapping: null
+  - override /mapping: emnist
   - override /criterion: cross_entropy
   - override /callbacks: htr
   - override /datamodule: iam_extended_paragraphs
-  - override /network: null
-  - override /model: null
+  - override /network: conv_transformer
+  - override /model: lit_transformer
   - override /lr_schedulers: null
   - override /optimizers: null
 
 epochs: &epochs 200
 ignore_index: &ignore_index 3
-num_classes: &num_classes 58
-max_output_len: &max_output_len 682
 summary: [[1, 1, 576, 640], [1, 682]]
 
 criterion:
   ignore_index: *ignore_index
   # label_smoothing: 0.1
 
-mapping: &mapping
-  mapping:
-    _target_: text_recognizer.data.mappings.emnist.EmnistMapping
-    extra_symbols: ["\n"]
-
 callbacks:
   stochastic_weight_averaging:
     _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
@@ -67,94 +59,5 @@ datamodule:
   pin_memory: true
   << : *mapping
 
-encoder: &encoder
-  _target_: text_recognizer.networks.efficientnet.efficientnet.EfficientNet
-  arch: b0
-  stochastic_dropout_rate: 0.2
-  bn_momentum: 0.99
-  bn_eps: 1.0e-3
-  depth: 7
-
-rotary_embedding: &rotary_embedding
-  rotary_embedding:
-    _target_: >
-      text_recognizer.networks.transformer.embeddings.rotary.RotaryEmbedding
-    dim: 64
-
-attn: &attn
-  dim: &hidden_dim 512
-  num_heads: 4
-  dim_head: 64
-  dropout_rate: &dropout_rate 0.4
-
-decoder: &decoder
-  _target_: text_recognizer.networks.transformer.decoder.Decoder
-  depth: 6
-  has_pos_emb: true
-  block:
-    _target_: text_recognizer.networks.transformer.decoder.DecoderBlock
-    self_attn:
-      _target_: text_recognizer.networks.transformer.attention.Attention
-      << : *attn
-      causal: true
-      << : *rotary_embedding
-    cross_attn:
-      _target_: text_recognizer.networks.transformer.attention.Attention
-      << : *attn
-      causal: false
-    norm:
-      _target_: text_recognizer.networks.transformer.norm.RMSNorm
-      dim: *hidden_dim
-    ff:
-      _target_: text_recognizer.networks.transformer.mlp.FeedForward
-      dim: *hidden_dim
-      dim_out: null
-      expansion_factor: 2
-      glu: true
-      dropout_rate: *dropout_rate
-
-pixel_pos_embedding: &pixel_pos_embedding
-  _target_: >
-    text_recognizer.networks.transformer.embeddings.axial.AxialPositionalEmbedding
-  dim: *hidden_dim
-  shape: &shape [18, 20]
-
-network:
-  _target_: text_recognizer.networks.conv_transformer.ConvTransformer
-  input_dims: [1, 1, 576, 640]
-  hidden_dim: *hidden_dim
-  num_classes: *num_classes
-  pad_index: *ignore_index
-  encoder:
-    << : *encoder
-  decoder:
-    << : *decoder
-  pixel_pos_embedding:
-    << : *pixel_pos_embedding
-
-model:
-  _target_: text_recognizer.models.transformer.TransformerLitModel
-  << : *mapping
-  max_output_len: *max_output_len
-  start_token: <s>
-  end_token: <e>
-  pad_token: <p>
-
 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: 2
-  overfit_batches: 0