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| description: Evaluate VAE on Yelp Dataset | |
| auth: | |
| # which virtual cluster you belong to (msrlabs, resrchprojvc6, 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: eu2 | |
| # 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: exp_{experiment_name:s}_{bs_option:.0f}_b_{beta_option:.2f} | |
| sku: G1 # G4 # G1 | |
| command: | |
| - pip install --user --editable . | |
| - pip install --user azure | |
| - pip install --user tqdm | |
| - python examples/big_ae/run_lm_vae_pretraining.py --use_philly --beta {beta_option} --dim_target_kl {dim_target_kl_option} --gloabl_step_eval 8334 --dataset Yelp --per_gpu_train_batch_size {bs_option} --per_gpu_eval_batch_size 1 --output_dir ../output/philly_vae_yelp_b{beta_option}_d{dim_target_kl_option}_r0{ratio_zero_option}_ra{ratio_increase_option} --encoder_model_type bert --encoder_model_name_or_path bert-base-cased --decoder_model_type gpt2 --decoder_model_name_or_path gpt2 --train_data_file ../data/datasets/yelp_data/train.txt --do_eval --eval_data_file ../data/datasets/yelp_data/test.txt --overwrite_output_dir --save_steps 1000 --logging_steps 100 | |
| max_trials: 20 | |
| type: grid | |
| params: | |
| - name: bs_option | |
| spec: discrete | |
| values: [4] # [top,bottom] | |
| # - name: beta_option | |
| # spec: discrete | |
| # values: [0.25,1.0] # [top,bottom] | |
| # - name: dim_target_kl_option | |
| # spec: discrete | |
| # values: [0.5,1.0,2.0] # [top,bottom] | |
| - name: beta_option | |
| spec: discrete | |
| values: [0.25,1.0] # | |
| - name: dim_target_kl_option | |
| spec: discrete | |
| values: [0.01,0.05,0.1,0.25] # | |
| - name: ratio_zero_option | |
| spec: discrete | |
| values: [0.5] # | |
| - name: ratio_increase_option | |
| spec: discrete | |
| values: [0.25] # |