Loading scripts/03_train_ner_models.sh +5 −4 Original line number Diff line number Diff line Loading @@ -12,9 +12,10 @@ SCHEDULE_NAME=fine-tuning DOCKER_BUILDKIT=1 docker build --build-arg UID="$(id -u)" --build-arg GID="$(id -g)" --build-arg UNAME="$(id -u -n)" . -f scripts//03_train_ner_models.Dockerfile -t "$IMAGE_NAME" parallel --halt=soon,fail=100% --jobs=4 --bar --delay 60 \ parallel --halt=soon,fail=100% --jobs=4 --bar --delay 60 --resume-failed \ --joblog scripts/03_train_ner_models_"${SCHEDULE_NAME}".joblog \ --colsep ' +' \ -- ' GPU_ID=$(nvidia-smi | grep -F -B 1 -- "0MiB / 15360MiB" | head -n 1 | awk "{ print \$2 }") docker run --rm -u "$(id -u):$(id -g)" --hostname "'"$HOSTNAME"'" --runtime=nvidia -e CUDA_DEVICE_ORDER=PCI_BUS_ID -e NVIDIA_VISIBLE_DEVICES="$GPU_ID" -e TOKENIZERS_PARALLELISM=false -e COMET_API_KEY -v "$PWD"/..:/workdir:rw -w /workdir/"${PWD##*/}" -v "'"$ROOT_PATH"'":"'"$ROOT_PATH"'":rw -v "'"$ANNOTATION_PATH"'":"'"$ANNOTATION_PATH"'":ro -v "'"$OCR_EVAL_PATH"'":"'"$OCR_EVAL_PATH"'":ro "'"$IMAGE_NAME"'" nice -n 19 python scripts/03_train_ner_models.py {1} {2} {3} '"$SCHEDULE_NAME"' -- \ 'GPU_ID=$(nvidia-smi | grep -F -B 1 -- "0MiB / 15360MiB" | head -n 1 | awk "{ print \$2 }"); '\ 'docker run --rm -u "$(id -u):$(id -g)" --hostname "'"$HOSTNAME"'" --runtime=nvidia -e CUDA_DEVICE_ORDER=PCI_BUS_ID -e NVIDIA_VISIBLE_DEVICES="$GPU_ID" -e TOKENIZERS_PARALLELISM=false -e COMET_API_KEY -v "$PWD"/..:/workdir:rw -w /workdir/"${PWD##*/}" -v "'"$ROOT_PATH"'":"'"$ROOT_PATH"'":rw -v "'"$ANNOTATION_PATH"'":"'"$ANNOTATION_PATH"'":ro -v "'"$OCR_EVAL_PATH"'":"'"$OCR_EVAL_PATH"'":ro "'"$IMAGE_NAME"'" nice -n 19 python scripts/03_train_ner_models.py {1} {2} {3} '"$SCHEDULE_NAME"' ' :::: scripts/03_train_ner_models.tasks Loading
scripts/03_train_ner_models.sh +5 −4 Original line number Diff line number Diff line Loading @@ -12,9 +12,10 @@ SCHEDULE_NAME=fine-tuning DOCKER_BUILDKIT=1 docker build --build-arg UID="$(id -u)" --build-arg GID="$(id -g)" --build-arg UNAME="$(id -u -n)" . -f scripts//03_train_ner_models.Dockerfile -t "$IMAGE_NAME" parallel --halt=soon,fail=100% --jobs=4 --bar --delay 60 \ parallel --halt=soon,fail=100% --jobs=4 --bar --delay 60 --resume-failed \ --joblog scripts/03_train_ner_models_"${SCHEDULE_NAME}".joblog \ --colsep ' +' \ -- ' GPU_ID=$(nvidia-smi | grep -F -B 1 -- "0MiB / 15360MiB" | head -n 1 | awk "{ print \$2 }") docker run --rm -u "$(id -u):$(id -g)" --hostname "'"$HOSTNAME"'" --runtime=nvidia -e CUDA_DEVICE_ORDER=PCI_BUS_ID -e NVIDIA_VISIBLE_DEVICES="$GPU_ID" -e TOKENIZERS_PARALLELISM=false -e COMET_API_KEY -v "$PWD"/..:/workdir:rw -w /workdir/"${PWD##*/}" -v "'"$ROOT_PATH"'":"'"$ROOT_PATH"'":rw -v "'"$ANNOTATION_PATH"'":"'"$ANNOTATION_PATH"'":ro -v "'"$OCR_EVAL_PATH"'":"'"$OCR_EVAL_PATH"'":ro "'"$IMAGE_NAME"'" nice -n 19 python scripts/03_train_ner_models.py {1} {2} {3} '"$SCHEDULE_NAME"' -- \ 'GPU_ID=$(nvidia-smi | grep -F -B 1 -- "0MiB / 15360MiB" | head -n 1 | awk "{ print \$2 }"); '\ 'docker run --rm -u "$(id -u):$(id -g)" --hostname "'"$HOSTNAME"'" --runtime=nvidia -e CUDA_DEVICE_ORDER=PCI_BUS_ID -e NVIDIA_VISIBLE_DEVICES="$GPU_ID" -e TOKENIZERS_PARALLELISM=false -e COMET_API_KEY -v "$PWD"/..:/workdir:rw -w /workdir/"${PWD##*/}" -v "'"$ROOT_PATH"'":"'"$ROOT_PATH"'":rw -v "'"$ANNOTATION_PATH"'":"'"$ANNOTATION_PATH"'":ro -v "'"$OCR_EVAL_PATH"'":"'"$OCR_EVAL_PATH"'":ro "'"$IMAGE_NAME"'" nice -n 19 python scripts/03_train_ner_models.py {1} {2} {3} '"$SCHEDULE_NAME"' ' :::: scripts/03_train_ner_models.tasks