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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-10-03 00:33:33 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-10-03 00:33:33 +0200
commitbecc8e1380a36f45a8dadf5a7cc6c7b922fe8dff (patch)
treefc07d6b8304d85d6c9c0e5e1638f0f4a2bc07e46 /training/conf/experiment/cnn_htr_wp_lines.yaml
parente6a5ef0330fb35f5c1c79872d57c3293127d4aa7 (diff)
Add experiment configs
Diffstat (limited to 'training/conf/experiment/cnn_htr_wp_lines.yaml')
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diff --git a/training/conf/experiment/cnn_htr_wp_lines.yaml b/training/conf/experiment/cnn_htr_wp_lines.yaml
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+# @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]]