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-rw-r--r--training/conf/callbacks/wandb_htr_predictions.yaml2
-rw-r--r--training/conf/experiment/cnn_htr_char_lines.yaml90
-rw-r--r--training/conf/experiment/cnn_htr_wp_lines.yaml157
-rw-r--r--training/conf/experiment/cnn_transformer_paragraphs.yaml148
-rw-r--r--training/conf/model/lit_transformer.yaml2
5 files changed, 361 insertions, 38 deletions
diff --git a/training/conf/callbacks/wandb_htr_predictions.yaml b/training/conf/callbacks/wandb_htr_predictions.yaml
index 589e7e0..468b6e0 100644
--- a/training/conf/callbacks/wandb_htr_predictions.yaml
+++ b/training/conf/callbacks/wandb_htr_predictions.yaml
@@ -1,4 +1,4 @@
log_text_predictions:
_target_: callbacks.wandb_callbacks.LogTextPredictions
num_samples: 8
- log_train: true
+ log_train: false
diff --git a/training/conf/experiment/cnn_htr_char_lines.yaml b/training/conf/experiment/cnn_htr_char_lines.yaml
index 0f28ff9..0d62a73 100644
--- a/training/conf/experiment/cnn_htr_char_lines.yaml
+++ b/training/conf/experiment/cnn_htr_char_lines.yaml
@@ -10,28 +10,26 @@ defaults:
- override /optimizers: null
+epochs: &epochs 200
+ignore_index: &ignore_index 3
+num_classes: &num_classes 58
+max_output_len: &max_output_len 89
+
criterion:
_target_: text_recognizer.criterions.label_smoothing.LabelSmoothingLoss
smoothing: 0.1
- ignore_index: 1000
+ ignore_index: *ignore_index
+ # _target_: torch.nn.CrossEntropyLoss
+ # ignore_index: *ignore_index
mapping:
- _target_: text_recognizer.data.word_piece_mapping.WordPieceMapping
- num_features: 1000
- tokens: iamdb_1kwp_tokens_1000.txt
- lexicon: iamdb_1kwp_lex_1000.txt
- data_dir: null
- use_words: false
- prepend_wordsep: false
- special_tokens: [ <s>, <e>, <p> ]
- # _target_: text_recognizer.data.emnist_mapping.EmnistMapping
- # extra_symbols: [ "\n" ]
+ _target_: text_recognizer.data.emnist_mapping.EmnistMapping
callbacks:
stochastic_weight_averaging:
_target_: pytorch_lightning.callbacks.StochasticWeightAveraging
- swa_epoch_start: 0.8
- swa_lrs: 0.05
+ swa_epoch_start: 0.75
+ swa_lrs: 5.0e-5
annealing_epochs: 10
annealing_strategy: cos
device: null
@@ -39,7 +37,7 @@ callbacks:
optimizers:
madgrad:
_target_: madgrad.MADGRAD
- lr: 1.0e-4
+ lr: 3.0e-4
momentum: 0.9
weight_decay: 0
eps: 1.0e-6
@@ -48,34 +46,42 @@ optimizers:
lr_schedulers:
network:
- _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
- mode: min
- factor: 0.1
- patience: 10
- threshold: 1.0e-4
- threshold_mode: rel
- cooldown: 0
- min_lr: 1.0e-7
- eps: 1.0e-8
- interval: epoch
+ _target_: torch.optim.lr_scheduler.OneCycleLR
+ max_lr: 3.0e-4
+ total_steps: null
+ epochs: *epochs
+ steps_per_epoch: 90
+ pct_start: 0.1
+ 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_lines.IAMLines
- batch_size: 16
+ batch_size: 32
num_workers: 12
train_fraction: 0.8
augment: true
- pin_memory: false
+ pin_memory: true
+ word_pieces: false
network:
_target_: text_recognizer.networks.conv_transformer.ConvTransformer
input_dims: [1, 56, 1024]
- hidden_dim: 128
+ hidden_dim: &hidden_dim 128
encoder_dim: 1280
dropout_rate: 0.2
- num_classes: 1006
- pad_index: 1000
+ num_classes: *num_classes
+ pad_index: *ignore_index
encoder:
_target_: text_recognizer.networks.encoders.efficientnet.EfficientNet
arch: b0
@@ -85,14 +91,14 @@ network:
bn_eps: 1.0e-3
decoder:
_target_: text_recognizer.networks.transformer.Decoder
- dim: 128
+ dim: *hidden_dim
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
+ norm_fn: text_recognizer.networks.transformer.norm.ScaleNorm
ff_fn: text_recognizer.networks.transformer.mlp.FeedForward
ff_kwargs:
dim_out: null
@@ -101,11 +107,23 @@ network:
dropout_rate: 0.2
cross_attend: true
pre_norm: true
- rotary_emb: null
+ rotary_emb:
+ _target_: text_recognizer.networks.transformer.positional_encodings.rotary_embedding.RotaryEmbedding
+ dim: 32
+ pixel_pos_embedding:
+ _target_: text_recognizer.networks.transformer.positional_encodings.PositionalEncoding2D
+ hidden_dim: *hidden_dim
+ max_h: 1
+ max_w: 32
+ token_pos_embedding:
+ _target_: text_recognizer.networks.transformer.positional_encodings.PositionalEncoding
+ hidden_dim: *hidden_dim
+ dropout_rate: 0.2
+ max_len: *max_output_len
model:
_target_: text_recognizer.models.transformer.TransformerLitModel
- max_output_len: 89
+ max_output_len: *max_output_len
start_token: <s>
end_token: <e>
pad_token: <p>
@@ -115,11 +133,11 @@ trainer:
stochastic_weight_avg: true
auto_scale_batch_size: binsearch
auto_lr_find: false
- gradient_clip_val: 0
+ gradient_clip_val: 0.5
fast_dev_run: false
gpus: 1
precision: 16
- max_epochs: 1024
+ max_epochs: *epochs
terminate_on_nan: true
weights_summary: null
limit_train_batches: 1.0
@@ -127,6 +145,6 @@ trainer:
limit_test_batches: 1.0
resume_from_checkpoint: null
accumulate_grad_batches: 4
- overfit_batches: 0.0
+ overfit_batches: 0
summary: [[1, 1, 56, 1024], [1, 89]]
diff --git a/training/conf/experiment/cnn_htr_wp_lines.yaml b/training/conf/experiment/cnn_htr_wp_lines.yaml
new file mode 100644
index 0000000..79075cd
--- /dev/null
+++ b/training/conf/experiment/cnn_htr_wp_lines.yaml
@@ -0,0 +1,157 @@
+# @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
+
+epochs: &epochs 256
+ignore_index: &ignore_index 1000
+num_classes: &num_classes 1006
+max_output_len: &max_output_len 72
+
+criterion:
+ _target_: torch.nn.CrossEntropyLoss
+ ignore_index: *ignore_index
+ # _target_: text_recognizer.criterions.label_smoothing.LabelSmoothingLoss
+ # smoothing: 0.1
+ # ignore_index: *ignore_index
+
+mapping:
+ _target_: text_recognizer.data.word_piece_mapping.WordPieceMapping
+ num_features: 1000
+ tokens: iamdb_1kwp_tokens_1000.txt
+ lexicon: iamdb_1kwp_lex_1000.txt
+ data_dir: null
+ use_words: false
+ prepend_wordsep: false
+ special_tokens: [ <s>, <e>, <p> ]
+ # extra_symbols: [ "\n" ]
+
+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: 3.0e-4
+ momentum: 0.9
+ weight_decay: 0
+ eps: 1.0e-6
+
+ parameters: network
+
+lr_schedulers:
+ network:
+ _target_: torch.optim.lr_scheduler.OneCycleLR
+ max_lr: 3.0e-4
+ total_steps: null
+ epochs: *epochs
+ steps_per_epoch: 90
+ pct_start: 0.1
+ 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_lines.IAMLines
+ batch_size: 32
+ num_workers: 12
+ train_fraction: 0.8
+ augment: true
+ pin_memory: true
+ word_pieces: true
+
+network:
+ _target_: text_recognizer.networks.conv_transformer.ConvTransformer
+ input_dims: [1, 56, 1024]
+ hidden_dim: &hidden_dim 128
+ encoder_dim: 1280
+ dropout_rate: 0.2
+ num_classes: *num_classes
+ pad_index: *ignore_index
+ 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: *hidden_dim
+ depth: 3
+ num_heads: 4
+ attn_fn: text_recognizer.networks.transformer.attention.Attention
+ attn_kwargs:
+ dim_head: 32
+ dropout_rate: 0.2
+ norm_fn: text_recognizer.networks.transformer.norm.ScaleNorm
+ 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:
+ _target_: text_recognizer.networks.transformer.positional_encodings.rotary_embedding.RotaryEmbedding
+ dim: 32
+ pixel_pos_embedding:
+ _target_: text_recognizer.networks.transformer.positional_encodings.PositionalEncoding2D
+ hidden_dim: *hidden_dim
+ max_h: 1
+ max_w: 32
+ token_pos_embedding:
+ _target_: text_recognizer.networks.transformer.positional_encodings.PositionalEncoding
+ hidden_dim: *hidden_dim
+ dropout_rate: 0.2
+ max_len: *max_output_len
+
+model:
+ _target_: text_recognizer.models.transformer.TransformerLitModel
+ 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: 4
+ overfit_batches: 0
+
+summary: [[1, 1, 56, 1024], [1, 89]]
diff --git a/training/conf/experiment/cnn_transformer_paragraphs.yaml b/training/conf/experiment/cnn_transformer_paragraphs.yaml
new file mode 100644
index 0000000..b415c29
--- /dev/null
+++ b/training/conf/experiment/cnn_transformer_paragraphs.yaml
@@ -0,0 +1,148 @@
+# @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
+
+
+epochs: &epochs 512
+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:
+ _target_: torch.nn.CrossEntropyLoss
+ ignore_index: *ignore_index
+
+mapping:
+ _target_: text_recognizer.data.emnist_mapping.EmnistMapping
+ extra_symbols: [ "\n" ]
+
+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: 3.0e-4
+ momentum: 0.9
+ weight_decay: 0
+ eps: 1.0e-6
+
+ parameters: network
+
+lr_schedulers:
+ network:
+ _target_: torch.optim.lr_scheduler.OneCycleLR
+ max_lr: 3.0e-4
+ total_steps: null
+ epochs: *epochs
+ steps_per_epoch: 52
+ pct_start: 0.1
+ 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: 0.8
+ augment: true
+ pin_memory: false
+ word_pieces: false
+ resize: null
+
+network:
+ _target_: text_recognizer.networks.conv_transformer.ConvTransformer
+ input_dims: [1, 56, 1024]
+ hidden_dim: &hidden_dim 128
+ encoder_dim: 1280
+ dropout_rate: 0.2
+ num_classes: *num_classes
+ pad_index: *ignore_index
+ 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: *hidden_dim
+ depth: 3
+ num_heads: 4
+ attn_fn: text_recognizer.networks.transformer.attention.Attention
+ attn_kwargs:
+ dim_head: 32
+ dropout_rate: 0.2
+ norm_fn: text_recognizer.networks.transformer.norm.ScaleNorm
+ 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:
+ _target_: text_recognizer.networks.transformer.positional_encodings.rotary_embedding.RotaryEmbedding
+ dim: 32
+ pixel_pos_embedding:
+ _target_: text_recognizer.networks.transformer.positional_encodings.PositionalEncoding2D
+ hidden_dim: *hidden_dim
+ max_h: 18
+ max_w: 20
+ token_pos_embedding:
+ _target_: text_recognizer.networks.transformer.positional_encodings.PositionalEncoding
+ hidden_dim: *hidden_dim
+ dropout_rate: 0.2
+ max_len: *max_output_len
+
+model:
+ _target_: text_recognizer.models.transformer.TransformerLitModel
+ 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: 32
+ overfit_batches: 0
diff --git a/training/conf/model/lit_transformer.yaml b/training/conf/model/lit_transformer.yaml
index 0ec3b8a..5172533 100644
--- a/training/conf/model/lit_transformer.yaml
+++ b/training/conf/model/lit_transformer.yaml
@@ -1,5 +1,5 @@
_target_: text_recognizer.models.transformer.TransformerLitModel
-max_output_len: 451
+max_output_len: 682
start_token: <s>
end_token: <e>
pad_token: <p>
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-12-25 17:36:03 +0000