Loading data/README.md +2 −2 Changes for data/README.md: 2 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -18,9 +18,9 @@ $ python preprocess.py --source-lang de --target-lang en \ --trainpref $TEXT/train --validpref $TEXT/valid --testpref $TEXT/test \ --destdir data-bin/iwslt14.tokenized.de-en # Train the model: # Train the model (better for a single GPU setup): $ mkdir -p checkpoints/fconv $ python train.py data-bin/iwslt14.tokenized.de-en \ $ CUDA_VISIBLE_DEVICES=0 python train.py data-bin/iwslt14.tokenized.de-en \ --lr 0.25 --clip-norm 0.1 --dropout 0.2 --max-tokens 4000 \ --criterion label_smoothed_cross_entropy --label-smoothing 0.1 \ --lr-scheduler fixed --force-anneal 200 \ Loading Loading
data/README.md +2 −2 Changes for data/README.md: 2 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -18,9 +18,9 @@ $ python preprocess.py --source-lang de --target-lang en \ --trainpref $TEXT/train --validpref $TEXT/valid --testpref $TEXT/test \ --destdir data-bin/iwslt14.tokenized.de-en # Train the model: # Train the model (better for a single GPU setup): $ mkdir -p checkpoints/fconv $ python train.py data-bin/iwslt14.tokenized.de-en \ $ CUDA_VISIBLE_DEVICES=0 python train.py data-bin/iwslt14.tokenized.de-en \ --lr 0.25 --clip-norm 0.1 --dropout 0.2 --max-tokens 4000 \ --criterion label_smoothed_cross_entropy --label-smoothing 0.1 \ --lr-scheduler fixed --force-anneal 200 \ Loading