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name: "Sorani-Arabic_1" |
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data: |
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train: "datasets/Sorani-Arabic/1/train" |
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dev: "datasets/Sorani-Arabic/1/dev" |
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test: "datasets/Sorani-Arabic/1/test" |
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level: "char" |
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lowercase: False |
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normalize: False |
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max_sent_length: 50 |
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dataset_type: "plain" |
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src: |
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lang: "src" |
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voc_limit: 100 |
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voc_min_freq: 5 |
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level: "char" |
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trg: |
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lang: "trg" |
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voc_limit: 100 |
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voc_min_freq: 5 |
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level: "char" |
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training: |
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random_seed: 42 |
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optimizer: "adam" |
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learning_rate: 0.001 |
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learning_rate_min: 0.0002 |
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weight_decay: 0.0 |
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clip_grad_norm: 1.0 |
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batch_size: 64 |
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scheduling: "plateau" |
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patience: 5 |
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decrease_factor: 0.5 |
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early_stopping_metric: "loss" |
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epochs: 20 |
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validation_freq: 1000 |
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logging_freq: 100 |
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eval_metric: "bleu" |
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model_dir: "models/Sorani-Arabic" |
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overwrite: True |
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shuffle: True |
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use_cuda: True |
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max_output_length: 50 |
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print_valid_sents: [0, 3, 6, 9] |
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keep_best_ckpts: -1 |
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testing: |
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n_best: 1 |
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beam_size: 4 |
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beam_alpha: 1.0 |
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eval_metrics: ["bleu", "chrf", "sequence_accuracy"] |
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max_output_length: 50 |
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batch_size: 10 |
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batch_type: "sentence" |
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return_prob: "none" |
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model: |
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initializer: "xavier_uniform" |
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init_gain: 1.0 |
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bias_initializer: "zeros" |
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embed_initializer: "xavier_uniform" |
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embed_init_gain: 1.0 |
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encoder: |
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type: "transformer" |
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num_layers: 6 |
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num_heads: 8 |
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embeddings: |
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embedding_dim: 128 |
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scale: True |
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hidden_size: 128 |
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ff_size: 512 |
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dropout: 0.1 |
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layer_norm: "pre" |
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decoder: |
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type: "transformer" |
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num_layers: 6 |
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num_heads: 8 |
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embeddings: |
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embedding_dim: 128 |
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scale: True |
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hidden_size: 128 |
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ff_size: 512 |
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dropout: 0.1 |
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layer_norm: "pre" |
