Closed Enihsuns closed 5 years ago
This is because the sample data (and training steps) are too small to learn anything useful from. If you look at losses (6.6800
) the model hadn't converged either.
I've updated the readme with a more substantial example experiment. Marking as this as closed.
When using the sample_config.json to run the code, the bleu metric value is always 0. Why?
I use the same command provided in Readme to run the code and I didn't alter the code.
My log: 2019-03-11 13:22:21,646 - INFO - EPOCH: 15 ITER: 48.0/50.0 WPS: 175.62 LOSS: 6.4455 METRIC: 0.0000 2019-03-11 13:22:21,759 - INFO - EPOCH: 15 ITER: 49.0/50.0 WPS: 178.09 LOSS: 6.6800 METRIC: 0.0000 2019-03-11 13:22:21,760 - INFO - EPOCH 15 COMPLETE. EVALUATING... 80/100...2019-03-11 13:22:26,620 - INFO - METRIC: 0. TIME: 4.86s CHECKPOINTING...
Thank you!