Comments (3)
The file metric_file.json
should be produced with the evaluate
function of dst.py
. This line calls the official SGD-baseline code and produces the metric file.
Is a temp
directory present after running the commands?
Which OS are you using? The code should work on a Linux machine inside a virtual environment.
from multitask-schema-guided-dst.
Can you tell me exactly the commands to reproduce this problem?
from multitask-schema-guided-dst.
Thank you for your reply!
Yes, I ran the following commands after cloning the repo:
pip install -r requirements.txt
python -m mtsgdst.data.pytorch_dataset --dataset_split=train --augment
python -m mtsgdst.data.pytorch_dataset --dataset_split=dev
python -m mtsgdst.data.pytorch_dataset --dataset_split=dev --eval_mode
python -m mtsgdst.data.pytorch_dataset --dataset_split=test --eval_mode
python -m mtsgdst.train --num_epochs=5 --num_total_epochs=5 --num_steps_logging=4000
It stopped running at the logging step 3999 right before the first accuracy calculation for the dev set
from multitask-schema-guided-dst.
Related Issues (3)
- Checkpoints HOT 2
- Inference input and output HOT 1
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