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description: Train AE on Wiki 103 Dataset | |
auth: | |
# which virtual cluster you belong to (msrlabs, etc.). Everyone has access to "pnrsy". | |
vc: msrlabs | |
# physical cluster to use (cam, gcr, rr1) or Azure clusters (eu1, eu2, etc.) | |
# cluster: rr2, eu2, eu1 et1 | |
cluster: cam | |
# docker environment (vm) in which your job will run. we provide "generic" dockers | |
# with the main deep learning toolkit installed (PyTorch, TF, Chainer, etc.) | |
docker: | |
# image: philly/jobs/custom/generic-docker:py27 | |
# registry: phillyregistry.azurecr.io | |
image: chunyl/pytorch-transformers:v0 | |
registry: index.docker.io | |
storage: | |
_default: | |
#use_phillyfs: True | |
storage_account_name: textae | |
container_name: bigtextae | |
mount_path: /mnt/_default | |
code: | |
# local directory of the code. this will be uploaded to the server. | |
# $CONFIG_DIR is expanded to the directory of this config file | |
code_upload: False | |
remote_dir: code/ | |
local_dir: $CONFIG_DIR/code | |
#data: | |
# data upload is not required for this example | |
#data_upload: False | |
search: | |
job_template: | |
name: vq_{experiment_name:s}_{bs_option:.1f} | |
sku: G4 # G4 # G1 | |
command: | |
- pip install --user --editable . | |
- python examples/run_lm_finetuning.py --output_dir ../output/philly_clm_wiki103 --model_type gpt2 --model_name_or_path gpt2 --do_train --train_data_file ../data/datasets/wikitext-103/train.txt --do_eval --eval_data_file ../data/datasets/wikitext-103/valid.txt --per_gpu_train_batch_size {bs_option} --save_steps 500 --overwrite_output_dir | |
max_trials: 20 | |
type: grid | |
params: | |
- name: bs_option | |
spec: discrete | |
values: [2] # [top,bottom] | |