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| # train.yaml | ||||
| 
 | ||||
| ## Where the samples will be written | ||||
| save_data: dp2022/run2/example | ||||
| ## Where the vocab(s) will be written | ||||
| src_vocab: dp2022/run2/example.vocab.src | ||||
| tgt_vocab: dp2022/run2/example.vocab.tgt | ||||
| # Prevent overwriting existing files in the folder | ||||
| overwrite: False | ||||
| 
 | ||||
| 
 | ||||
| # Corpus opts | ||||
| data: | ||||
|         corpus_1: | ||||
|                 path_src: dp2022/europarl-v7.sk-en.en | ||||
|                 path_tgt: dp2022/europarl-v7.sk-en.sk | ||||
|                 transforms: [onmt_tokenize] | ||||
|                 weight: 1 | ||||
|         valid: | ||||
|                 path_src: dp2022/europarl-v7.clean.sk-en.en | ||||
|                 path_tgt: dp2022/europarl-v7.clean.sk-en.sk | ||||
|                 transforms: [onmt_tokenize] | ||||
| 
 | ||||
| # Vocabulary files that were just created | ||||
| src_vocab: dp2022/run2/example.vocab.src | ||||
| tgt_vocab: dp2022/run2/example.vocab.tgt | ||||
| 
 | ||||
| # Where to save the checkpoints | ||||
| save_model: dp2022/run2/model | ||||
| 
 | ||||
| save_checkpoint_steps: 1000 | ||||
| train_steps: 20000 | ||||
| valid_steps: 10000 | ||||
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