- 10 Oct, 2019 1 commit
-
-
Dmytro Okhonko authored
Summary: Adds CTC loss and corresponding transformer ctc based models. Tested with `CUDA_VISIBLE_DEVICES=0 python train.py $DATA_PATH --save-dir $SAVE_DIR --max-epoch 30 --task speech_recognition --arch vggtransformer_enc_1 --optimizer adadelta --lr 1.0 --adadelta-eps 1e-8 --adadelta-rho 0.95 --clip-norm 10.0 --max-tokens 10000 --log-format json --log-interval 1 --criterion ctc_loss --user-dir examples/speech_recognition/ --validate-interval=10` Pull Request resolved: https://github.com/pytorch/fairseq/pull/1233 Reviewed By: jcai1 Differential Revision: D17856824 Pulled By: okhonko fbshipit-source-id: f3eac64d3fdd0c37cf8c539dd360cfb610d8a6ef
-
