|
accum_count: 100 |
|
accum_steps: 0 |
|
adam_beta2: 0.998 |
|
attention_dropout: 0.1 |
|
batch_size: 1500 |
|
batch_type: tokens |
|
bucket_size: 49304 |
|
data: |
|
27e6308e0faf12cd1b4bed73708fad6f: |
|
path_src: dataset/vep-ru/et-synt/target.txt |
|
path_tgt: dataset/vep-ru/et-synt/source.txt |
|
src_prefix: et_s_Latn |
|
tgt_prefix: '' |
|
transforms: &id001 |
|
- sentencepiece |
|
- filtertoolong |
|
- prefix |
|
weight: 13 |
|
2caaf1b1e5e15d4a06b5b77c438ba0bc: |
|
path_src: dataset/vep-ru/fin-original/target.txt |
|
path_tgt: dataset/vep-ru/fin-original/source.txt |
|
src_prefix: fi_Latn |
|
tgt_prefix: '' |
|
transforms: *id001 |
|
weight: 13 |
|
3def7622ce4622202126c8828c6fae3f: |
|
path_src: dataset/vep-ru/fin-synt/target.txt |
|
path_tgt: dataset/vep-ru/fin-synt/source.txt |
|
src_prefix: fi_s_Latn |
|
tgt_prefix: '' |
|
transforms: *id001 |
|
weight: 13 |
|
517216e92cd45eb876c79dc3bafaad18: |
|
path_src: dataset/vep-ru/var/target.txt |
|
path_tgt: dataset/vep-ru/var/source.txt |
|
src_prefix: '' |
|
tgt_prefix: '' |
|
transforms: *id001 |
|
weight: 6 |
|
815e8e066d03025e82529ef5c5ad232c: |
|
path_src: dataset/vep-ru/vep/target.txt |
|
path_tgt: dataset/vep-ru/vep/source.txt |
|
src_prefix: '' |
|
tgt_prefix: '' |
|
transforms: *id001 |
|
weight: 5 |
|
8e6d221db9fc70bb3fd1104c24c8f25c: |
|
path_src: dataset/vep-ru/vep-dic/target.txt |
|
path_tgt: dataset/vep-ru/vep-dic/source.txt |
|
src_prefix: '' |
|
tgt_prefix: '' |
|
transforms: *id001 |
|
weight: 1 |
|
f080464d79eb04a44e9947db1b54c17b: |
|
path_src: dataset/vep-ru/et-original/target.txt |
|
path_tgt: dataset/vep-ru/et-original/source.txt |
|
src_prefix: et_Latn |
|
tgt_prefix: '' |
|
transforms: *id001 |
|
weight: 13 |
|
valid: |
|
path_src: run/ru_vep-1.0/src-val.txt |
|
path_tgt: run/ru_vep-1.0/tgt-val.txt |
|
transforms: *id001 |
|
dec_layers: 20 |
|
decay_method: rsqrt |
|
decoder_type: transformer |
|
dropout: 0.1 |
|
dropout_steps: 0 |
|
early_stopping: 0 |
|
enc_layers: 20 |
|
encoder_type: transformer |
|
gpu_ranks: |
|
- 0 |
|
- 1 |
|
heads: 8 |
|
hidden_size: 512 |
|
keep_checkpoint: 15 |
|
label_smoothing: 0.1 |
|
learning_rate: 0.0015 |
|
max_generator_batches: 2 |
|
max_grad_norm: 0 |
|
max_relative_positions: 20 |
|
model_dtype: fp16 |
|
normalization: tokens |
|
num_workers: 6 |
|
optim: pagedadamw8bit |
|
param_init: 0 |
|
param_init_glorot: true |
|
pos_ffn_activation_fn: gated-gelu |
|
position_encoding: false |
|
queue_size: 10000 |
|
reset_optim: all |
|
rnn_size: 512 |
|
save_checkpoint_steps: 100 |
|
save_data: run/ru_vep-1.0/opennmt |
|
save_model: run/ru_vep-1.0/opennmt/openmt.model |
|
share_decoder_embeddings: true |
|
share_embeddings: true |
|
share_vocab: true |
|
skip_empty_level: silent |
|
src_onmttok_kwargs: |
|
lang: ru |
|
mode: none |
|
src_seq_length: 185 |
|
src_subword_alpha: 0.0 |
|
src_subword_model: run/ru_vep-1.0/sentencepiece.model |
|
src_subword_nbest: 1 |
|
src_subword_type: sentencepiece |
|
src_vocab: run/ru_vep-1.0/opennmt/openmt.vocab |
|
src_vocab_size: 32000 |
|
tgt_onmttok_kwargs: |
|
lang: vep |
|
mode: none |
|
tgt_seq_length: 185 |
|
tgt_subword_alpha: 0.0 |
|
tgt_subword_model: run/ru_vep-1.0/sentencepiece.model |
|
tgt_subword_nbest: 1 |
|
tgt_subword_type: sentencepiece |
|
tgt_vocab: run/ru_vep-1.0/opennmt/openmt.vocab |
|
tgt_vocab_size: 32000 |
|
train_steps: 1500 |
|
transformer_ff: 6144 |
|
update_vocab: 'False' |
|
valid_batch_size: 64 |
|
valid_metrics: |
|
- BLEU |
|
valid_steps: 100 |
|
warmup_steps: 200 |
|
word_vec_size: 512 |
|
world_size: 2 |
|
|
