| name: "Kurmanji-Persian_1" | |
| data: | |
| train: "datasets/Kurmanji-Persian/1/train" | |
| dev: "datasets/Kurmanji-Persian/1/dev" | |
| test: "datasets/Kurmanji-Persian/1/test" | |
| level: "char" | |
| lowercase: False | |
| normalize: False | |
| max_sent_length: 100 | |
| dataset_type: "plain" | |
| src: | |
| lang: "src" | |
| voc_limit: 100 | |
| voc_min_freq: 5 | |
| level: "char" | |
| trg: | |
| lang: "trg" | |
| voc_limit: 100 | |
| voc_min_freq: 5 | |
| level: "char" | |
| training: | |
| random_seed: 42 | |
| optimizer: "adam" | |
| learning_rate: 0.001 | |
| learning_rate_min: 0.0002 | |
| weight_decay: 0.0 | |
| clip_grad_norm: 1.0 | |
| batch_size: 64 | |
| scheduling: "plateau" | |
| patience: 10 | |
| decrease_factor: 0.5 | |
| early_stopping_metric: "loss" | |
| epochs: 80 | |
| validation_freq: 1000 | |
| logging_freq: 100 | |
| eval_metric: "bleu" | |
| model_dir: "models/Kurmanji-Persian" | |
| overwrite: True | |
| shuffle: True | |
| use_cuda: True | |
| max_output_length: 100 | |
| print_valid_sents: [0, 3, 6, 9] | |
| keep_best_ckpts: -1 | |
| testing: | |
| n_best: 1 | |
| beam_size: 4 | |
| beam_alpha: 1.0 | |
| eval_metrics: ["bleu", "chrf", "sequence_accuracy"] | |
| max_output_length: 1000 | |
| batch_size: 10 | |
| batch_type: "sentence" | |
| return_prob: "none" | |
| model: | |
| initializer: "xavier_uniform" | |
| init_gain: 1.0 | |
| bias_initializer: "zeros" | |
| embed_initializer: "xavier_uniform" | |
| embed_init_gain: 1.0 | |
| encoder: | |
| type: "transformer" | |
| num_layers: 6 | |
| num_heads: 8 | |
| embeddings: | |
| embedding_dim: 128 | |
| scale: True | |
| # typically ff_size = 4 x hidden_size | |
| hidden_size: 128 | |
| ff_size: 512 | |
| dropout: 0.2 | |
| layer_norm: "pre" | |
| decoder: | |
| type: "transformer" | |
| num_layers: 6 | |
| num_heads: 8 | |
| embeddings: | |
| embedding_dim: 128 | |
| scale: True | |
| # typically ff_size = 4 x hidden_size | |
| hidden_size: 128 | |
| ff_size: 512 | |
| dropout: 0.2 | |
| layer_norm: "pre" |