Comments (3)
When I run the code,
python3 nmt.py --attention=scaled_luong --src=zh --tgt=en --vocab_prefix=tmp/nmt_data_zh_en/vocab --train_prefix=tmp/nmt_data_zh_en/train --dev_prefix=tmp/nmt_data_zh_en/tst2012 --test_prefix=tmp/nmt_data_zh_en/tst2013 --out_dir=tmp/nmt_attention_model --num_train_steps=12000 --steps_per_stats=100 --num_layers=2 --num_units=512 --encoder_type=bi --dropout=0.2 --decay_scheme=luong234 --metrics=bleu
The best value of blue is 11.4οΌare there sone problems?
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Bleu score depends on various factors like architecture used, hyper parameters, number of sentences in data set.
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@duguiming111 i am the begginer of the nmt, i can not find the zh-en corpus of iwslt2015, can you tell me how
to get this dataset and vocab ?
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Related Issues (20)
- How this performs against Facebook's fairseq?
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