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OpenDAS
Fairseq
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28adb200
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28adb200
authored
Jul 19, 2018
by
Angela Fan
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stories data preprocessing needs padding factor 1 to match pretrained model, updating readme
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examples/stories/README.md
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examples/stories/README.md
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28adb200
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@@ -17,7 +17,7 @@ Example usage:
$ TEXT=examples/stories/writingPrompts
$ python preprocess.py --source-lang wp_source --target-lang wp_target \
--trainpref $TEXT/train --validpref $TEXT/valid --testpref $TEXT/test \
--destdir data-bin/writingPrompts --thresholdtgt 10 --thresholdsrc 10
--destdir data-bin/writingPrompts
--padding-factor 1
--thresholdtgt 10 --thresholdsrc 10
# Train the model:
$ python train.py data-bin/writingPrompts -a fconv_self_att_wp --lr 0.25 --clip-norm 0.1 --max-tokens 1500 --lr-scheduler reduce_lr_on_plateau --decoder-attention True --encoder-attention False --criterion label_smoothed_cross_entropy --weight-decay .0000001 --label-smoothing 0 --source-lang wp_source --target-lang wp_target --gated-attention True --self-attention True --project-input True --pretrained False
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