| name: bt_how2sign | |
| wandb: false | |
| data: | |
| base_path: ${DATA_ROOT}/lmdb | |
| dataset: How2Sign | |
| version: how2sign | |
| pseudo_gloss_dir: ${DATA_ROOT}/pseudo_glosses | |
| feature_size: 240 | |
| level: word | |
| tokenizer: whitespace | |
| txt_lowercase: true | |
| max_sent_length: 400 | |
| max_sgn_length: 300 | |
| random_train_subset: -1 | |
| random_dev_subset: -1 | |
| testing: | |
| recognition_beam_sizes: | |
| - 1 | |
| translation_beam_sizes: | |
| - 1 | |
| - 2 | |
| - 3 | |
| - 4 | |
| - 5 | |
| translation_beam_alphas: | |
| - -1 | |
| - 0 | |
| - 1 | |
| - 2 | |
| - 3 | |
| training: | |
| model_dir: ./checkpoints/How2Sign | |
| random_seed: 42 | |
| reset_best_ckpt: false | |
| reset_scheduler: false | |
| reset_optimizer: false | |
| recognition_loss_weight: 1.0 | |
| translation_loss_weight: 1.0 | |
| eval_metric: bleu | |
| optimizer: adam | |
| learning_rate: 0.0005 | |
| batch_size: 128 | |
| batch_type: sentence | |
| num_workers: 4 | |
| epochs: 250 | |
| early_stopping_metric: eval_metric | |
| translation_normalization: batch | |
| eval_recognition_beam_size: 1 | |
| eval_translation_beam_size: 3 | |
| eval_translation_beam_alpha: -1 | |
| num_valid_log: 5 | |
| overwrite: false | |
| shuffle: true | |
| use_cuda: true | |
| translation_max_output_length: 30 | |
| keep_last_ckpts: 3 | |
| batch_multiplier: 1 | |
| logging_freq: 100 | |
| validation_freq: 100 | |
| betas: | |
| - 0.9 | |
| - 0.998 | |
| scheduling: plateau | |
| learning_rate_min: 1.0e-08 | |
| weight_decay: 0.001 | |
| patience: 3 | |
| decrease_factor: 0.8 | |
| label_smoothing: 0.1 | |
| model: | |
| initializer: xavier | |
| bias_initializer: zeros | |
| init_gain: 1.0 | |
| embed_initializer: xavier | |
| embed_init_gain: 1.0 | |
| tied_softmax: false | |
| encoder: | |
| type: transformer | |
| num_layers: 3 | |
| num_heads: 8 | |
| embeddings: | |
| embedding_dim: 512 | |
| scale: false | |
| dropout: 0.1 | |
| norm_type: batch | |
| activation_type: softsign | |
| hidden_size: 512 | |
| ff_size: 1024 | |
| dropout: 0.1 | |
| decoder: | |
| type: transformer | |
| num_layers: 3 | |
| num_heads: 8 | |
| embeddings: | |
| embedding_dim: 512 | |
| scale: false | |
| dropout: 0.1 | |
| norm_type: batch | |
| activation_type: softsign | |
| hidden_size: 512 | |
| ff_size: 1024 | |
| dropout: 0.1 | |