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Delete models/Mazandarni-Persian
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models/Mazandarni-Persian/.gitkeep
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models/Mazandarni-Persian/best.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e91f2510b484e2a254762609c062c8a6fdcf736caf99a612e3bf9512938852e
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size 39254858
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models/Mazandarni-Persian/config.yaml
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name: "Mazanderani-Persian_1"
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data:
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train: "datasets/Mazanderani-Persian/1/train"
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dev: "datasets/Mazanderani-Persian/1/dev"
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test: "datasets/Mazanderani-Persian/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: 100
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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: 10
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decrease_factor: 0.5
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early_stopping_metric: "loss"
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epochs: 80
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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/Mazanderani-Persian"
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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: 100
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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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# typically ff_size = 4 x hidden_size
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hidden_size: 128
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ff_size: 512
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dropout: 0.2
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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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# typically ff_size = 4 x hidden_size
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hidden_size: 128
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ff_size: 512
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dropout: 0.2
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layer_norm: "pre"
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models/Mazandarni-Persian/src_vocab.txt
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<unk>
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<pad>
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models/Mazandarni-Persian/trg_vocab.txt
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<unk>
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<pad>
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