sam/dvc.yaml at master · schlevik/sam · GitHub

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stages:
  train-roberta-base-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path roberta-base --model-type roberta --eval-file data/datasets/squad1/dev-v1.1.json
      --save-model-folder models/roberta-base-squad1 --do-eval-after-training --num-workers
      8 --fp16 --per-gpu-train-batch-size 8 --save-steps 0 --max-answer-length 30
      --debug-features
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/roberta-base-squad1
  train-albert-base-v2-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path albert-base-v2 --model-type albert-base-v2 --eval-file data/datasets/squad1/dev-v1.1.json
      --save-model-folder models/albert-base-v2-squad1 --do-eval-after-training --num-workers
      8 --per-gpu-train-batch-size 24 --max-answer-length 30 --fp16 --save-steps 0
      --debug-features
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/albert-base-v2-squad1
  train-albert-xxlarge-v2-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path albert-xxlarge-v2 --model-type albert-xxlarge-v2 --eval-file data/datasets/squad1/dev-v1.1.json
      --save-model-folder models/albert-xxlarge-v2-squad1 --do-eval-after-training
      --num-workers 8 --per-gpu-train-batch-size 2 --max-answer-length 30 --gradient-accumulation-steps
      128 --fp16 --save-steps 0 --debug-features
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/albert-xxlarge-v2-squad1
  train-bert-large-uncased-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path bert-large-uncased --model-type bert-large-uncased --eval-file
      data/datasets/squad1/dev-v1.1.json --save-model-folder models/bert-large-uncased-squad1
      --do-eval-after-training --num-workers 8 --per-gpu-train-batch-size 2 --max-answer-length
      30 --gradient-accumulation-steps 128 --fp16 --save-steps 0 --debug-features
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/bert-large-uncased-squad1
  train-roberta-large-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path roberta-large --model-type roberta-large --eval-file data/datasets/squad1/dev-v1.1.json
      --save-model-folder models/roberta-large-squad1 --do-eval-after-training --num-workers
      8 --per-gpu-train-batch-size 8 --max-answer-length 30 --gradient-accumulation-steps
      32 --fp16 --save-steps 1000 --debug-features --eval-all-checkpoints
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/roberta-large-squad1
  train-albert-large-v2-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path albert-large-v2 --model-type albert-large-v2 --eval-file data/datasets/squad1/dev-v1.1.json
      --save-model-folder models/albert-large-v2-squad1 --do-eval-after-training --num-workers
      8 --per-gpu-train-batch-size 8 --max-answer-length 30 --gradient-accumulation-steps
      32 --fp16 --debug-features --eval-all-checkpoints
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/albert-large-v2-squad1
  train-albert-xlarge-v2-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path albert-xlarge-v2 --model-type albert-xlarge-v2 --eval-file data/datasets/squad1/dev-v1.1.json
      --save-model-folder models/albert-xlarge-v2-squad1 --do-eval-after-training
      --num-workers 8 --per-gpu-train-batch-size 4 --max-answer-length 30 --gradient-accumulation-steps
      64 --fp16 --debug-features --eval-all-checkpoints
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/albert-xlarge-v2-squad1
  train-bert-base-uncased-on-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/squad1/train-v1.1.json
      --model-path bert-base-uncased --model-type bert-base-uncased --eval-file data/datasets/squad1/dev-v1.1.json
      --save-model-folder models/bert-base-uncased-squad1 --do-eval-after-training
      --num-workers 8 --per-gpu-train-batch-size 32 --max-answer-length 30 --gradient-accumulation-steps
      8 --fp16 --debug-features --eval-all-checkpoints
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/bert-base-uncased-squad1
  train-t5-small-on-squad1:
    cmd: PYTHONPATH=. WANDB_NAME=dvc-t5-small-on-squad1 python scripts/t5.py --model_name_or_path
      t5-small --output_dir models/t5-small-squad1 --train_file data/datasets/squad1/train-v1.1.json
      --eval_file data/datasets/squad1/dev-v1.1.json --do_train --do_eval --num_workers
      8 --per_device_train_batch_size 32 --gradient_accumulation_steps 32 --fp16 --eval_all_checkpoints
      --learning_rate 0.001
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/t5-small-squad1
  train-t5-base-on-squad1:
    cmd: PYTHONPATH=. WANDB_NAME=dvc-t5-base-on-squad1-no-fp16 python scripts/t5.py
      --model_name_or_path t5-base --output_dir models/t5-base-squad1 --train_file
      data/datasets/squad1/train-v1.1.json --eval_file data/datasets/squad1/dev-v1.1.json
      --do_train --do_eval --num_workers 8 --per_device_train_batch_size 6 --gradient_accumulation_steps
      170 --eval_all_checkpoints --logging_steps 10 --save_steps 74 --learning_rate
      0.001
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/t5-base-squad1
  generate-train:
    cmd: python main.py generate-balanced --config conf/finetune.json --seed 56 --num-workers
      8 --do-save --out-path data/football/split/train/ --multiplier 100 --split train
      --combine
    deps:
    - conf/finetune.json
    - scripts/generate_balanced.py
    outs:
    - data/football/split/train/combined-train.json
  generate-train-mask-q:
    cmd: python main.py generate-balanced --config conf/finetune.json --seed 56 --num-workers
      8 --do-save --out-path data/football/split-mask-q/train/ --multiplier 100 --split
      train --combine --mask-q
    deps:
    - conf/finetune.json
    - scripts/generate_balanced.py
    outs:
    - data/football/split-mask-q/train/combined-train.json
  generate-train-mask-p:
    cmd: python main.py generate-balanced --config conf/finetune.json --seed 56 --num-workers
      8 --do-save --out-path data/football/split-mask-p/train/ --multiplier 100 --split
      train --combine --mask-p --keep-answer-candidates
    deps:
    - conf/finetune.json
    - scripts/generate_balanced.py
    outs:
    - data/football/split-mask-p/train/combined-train.json
  generate-test-mask-q:
    cmd: python main.py generate-balanced --config conf/finetune.json --seed 38676
      --num-workers 8 --do-save --out-path data/football/split-mask-q/test/ --multiplier
      20 --split test --mask-q
    deps:
    - conf/finetune.json
    - scripts/generate_balanced.py
    outs:
    - data/football/split-mask-q/test/baseline-test.json
    - data/football/split-mask-q/test/control-test.json
    - data/football/split-mask-q/test/intervention-test.json
  generate-test-mask-p:
    cmd: python main.py generate-balanced --config conf/finetune.json --seed 38676
      --num-workers 8 --do-save --out-path data/football/split-mask-p/test/ --multiplier
      20 --split test --mask-p --keep-answer-candidates
    deps:
    - conf/finetune.json
    - scripts/generate_balanced.py
    outs:
    - data/football/split-mask-p/test/baseline-test.json
    - data/football/split-mask-p/test/control-test.json
    - data/football/split-mask-p/test/intervention-test.json
  train-bert-baseline:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/football/split/train/combined-train.json
      --model-path bert-base-uncased --model-type bert --save-model-folder models/bert-baseline
      --num-workers 8 --per-gpu-train-batch-size 24 --max-answer-length 10 --debug-features
      --num-train-epochs 15 --overwrite-output-dir --save-steps 0 --per-gpu-eval-batch-size
      64 --gradient-accumulation-steps 3 --learning-rate 5e-5
    deps:
    - data/football/split/train/combined-train.json
    outs:
    - models/bert-baseline
  train-bert-mask-q-baseline:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/football/split-mask-q/train/combined-train.json
      --model-path bert-base-uncased --model-type bert --save-model-folder models/bert-mask-q-baseline
      --num-workers 8 --per-gpu-train-batch-size 24 --max-answer-length 10 --debug-features
      --num-train-epochs 15 --overwrite-output-dir --save-steps 0 --per-gpu-eval-batch-size
      64 --gradient-accumulation-steps 3 --learning-rate 5e-5
    deps:
    - data/football/split-mask-q/train/combined-train.json
    outs:
    - models/bert-mask-q-baseline
  train-bert-mask-p-baseline:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/football/split-mask-p/train/combined-train.json
      --model-path bert-base-uncased --model-type bert --save-model-folder models/bert-mask-p-baseline
      --num-workers 8 --per-gpu-train-batch-size 24 --max-answer-length 10 --debug-features
      --num-train-epochs 15 --overwrite-output-dir --save-steps 0 --per-gpu-eval-batch-size
      64 --gradient-accumulation-steps 3 --learning-rate 5e-5
    deps:
    - data/football/split-mask-p/train/combined-train.json
    outs:
    - models/bert-mask-p-baseline
  predict-random-baselines:
    cmd: python main.py predict data/football/split/test/baseline-test.json data/football/split/test/control-test.json
      data/football/split/test/intervention-test.json --output-folder data/football/split/test/predictions/
      --model random-baseline --cls RandomBaseline --model educated-baseline --cls
      EducatedBaseline --model informed-baseline --cls InformedBaseline
    deps:
    - data/football/split/test/baseline-test.json
    - data/football/split/test/control-test.json
    - data/football/split/test/intervention-test.json
    outs:
    - data/football/split/test/predictions/baseline-test-educated-baseline.json
    - data/football/split/test/predictions/baseline-test-informed-baseline.json
    - data/football/split/test/predictions/baseline-test-random-baseline.json
    - data/football/split/test/predictions/control-test-educated-baseline.json
    - data/football/split/test/predictions/control-test-informed-baseline.json
    - data/football/split/test/predictions/control-test-random-baseline.json
    - data/football/split/test/predictions/intervention-test-educated-baseline.json
    - data/football/split/test/predictions/intervention-test-informed-baseline.json
    - data/football/split/test/predictions/intervention-test-random-baseline.json
  predict-bert-baseline:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk predictions
      data/football/split/test/baseline-test.json data/football/split/test/intervention-test.json
      data/football/split/test/control-test.json --model-path models/bert-baseline
      --model-type bert --out-folder data/football/split/test/predictions/ --max-answer-length
      10 --per-gpu-eval-batch-size 64
    deps:
    - data/football/split/test/baseline-test.json
    - data/football/split/test/control-test.json
    - data/football/split/test/intervention-test.json
    - models/bert-baseline
    outs:
    - data/football/split/test/predictions/baseline-test-bert-baseline.json
    - data/football/split/test/predictions/control-test-bert-baseline.json
    - data/football/split/test/predictions/intervention-test-bert-baseline.json
  predict-bert-mask-q-baseline:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk predictions
      data/football/split-mask-q/test/baseline-test.json data/football/split-mask-q/test/intervention-test.json
      data/football/split-mask-q/test/control-test.json --model-path models/bert-mask-q-baseline
      --model-type bert --out-folder data/football/split-mask-q/test/predictions/
      --max-answer-length 10 --per-gpu-eval-batch-size 64
    deps:
    - data/football/split-mask-q/test/baseline-test.json
    - data/football/split-mask-q/test/control-test.json
    - data/football/split-mask-q/test/intervention-test.json
    - models/bert-mask-q-baseline
    outs:
    - data/football/split-mask-q/test/predictions/baseline-test-bert-mask-q-baseline.json
    - data/football/split-mask-q/test/predictions/control-test-bert-mask-q-baseline.json
    - data/football/split-mask-q/test/predictions/intervention-test-bert-mask-q-baseline.json
  predict-bert-mask-p-baseline:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk predictions
      data/football/split-mask-p/test/baseline-test.json data/football/split-mask-p/test/intervention-test.json
      data/football/split-mask-p/test/control-test.json --model-path models/bert-mask-p-baseline
      --model-type bert --out-folder data/football/split-mask-p/test/predictions/
      --max-answer-length 10 --per-gpu-eval-batch-size 64
    deps:
    - data/football/split-mask-p/test/baseline-test.json
    - data/football/split-mask-p/test/control-test.json
    - data/football/split-mask-p/test/intervention-test.json
    - models/bert-mask-p-baseline
    outs:
    - data/football/split-mask-p/test/predictions/baseline-test-bert-mask-p-baseline.json
    - data/football/split-mask-p/test/predictions/control-test-bert-mask-p-baseline.json
    - data/football/split-mask-p/test/predictions/intervention-test-bert-mask-p-baseline.json
  generate-test:
    cmd: python main.py generate-balanced --config conf/finetune.json --seed 38676
      --num-workers 8 --do-save --out-path data/football/split/test/ --multiplier
      20 --split test
    deps:
    - conf/finetune.json
    - scripts/generate_balanced.py
    outs:
    - data/football/split/test/baseline-test.json
    - data/football/split/test/control-test.json
    - data/football/split/test/intervention-test.json
  evaluate-baselines:
    cmd: python main.py evaluate data/football/split/test/baseline-test.json data/football/split/test/intervention-test.json
      data/football/split/test/control-test.json --prediction-folder data/football/split/test/predictions/
      --output metrics/football/baselines/baselines.json --metric EMRelaxed
    deps:
    - data/football/split/test/baseline-test.json
    - data/football/split/test/control-test.json
    - data/football/split/test/intervention-test.json
    - data/football/split/test/predictions/
    metrics:
    - metrics/football/baselines/baselines.json:
        cache: false
  evaluate-baselines-mask-q:
    cmd: python main.py evaluate data/football/split-mask-q/test/baseline-test.json
      data/football/split-mask-q/test/intervention-test.json data/football/split-mask-q/test/control-test.json
      --prediction-folder data/football/split-mask-q/test/predictions/ --output metrics/football/baselines/baselines-mask-q.json
      --metric EMRelaxed
    deps:
    - data/football/split-mask-q/test/baseline-test.json
    - data/football/split-mask-q/test/control-test.json
    - data/football/split-mask-q/test/intervention-test.json
    - data/football/split-mask-q/test/predictions/
    metrics:
    - metrics/football/baselines/baselines-mask-q.json:
        cache: false
  evaluate-baselines-mask-p:
    cmd: python main.py evaluate data/football/split-mask-p/test/baseline-test.json
      data/football/split-mask-p/test/intervention-test.json data/football/split-mask-p/test/control-test.json
      --prediction-folder data/football/split-mask-p/test/predictions/ --output metrics/football/baselines/baselines-mask-p.json
      --metric EMRelaxed
    deps:
    - data/football/split-mask-p/test/baseline-test.json
    - data/football/split-mask-p/test/control-test.json
    - data/football/split-mask-p/test/intervention-test.json
    - data/football/split-mask-p/test/predictions/
    metrics:
    - metrics/football/baselines/baselines-mask-p.json:
        cache: false
  generate-sam:
    cmd: python main.py generate-balanced --config conf/evaluate.json --seed 56 --num-workers
      8 --do-save --out-path data/football/full --multiplier 35
    deps:
    - conf/evaluate.json
    - scripts/generate_balanced.py
    outs:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
  predict-transformers-squad1:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk predictions
      data/football/full/baseline.json data/football/full/intervention.json data/football/full/control.json
      --model-path models/albert-base-v2-squad1 --model-type albert --model-path models/albert-large-v2-squad1
      --model-type albert --model-path models/albert-xlarge-v2-squad1 --model-type
      albert --model-path models/albert-xxlarge-v2-squad1 --model-type albert --model-path
      models/bert-base-uncased-squad1 --model-type bert --model-path models/bert-large-uncased-squad1
      --model-type bert --model-path models/roberta-base-squad1 --model-type roberta
      --model-path models/roberta-large-squad1 --model-type roberta --out-folder data/football/full/predictions/squad1
      --max-answer-length 10 --per-gpu-eval-batch-size 32
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/albert-base-v2-squad1
    - models/albert-large-v2-squad1
    - models/albert-xlarge-v2-squad1
    - models/albert-xxlarge-v2-squad1
    - models/bert-base-uncased-squad1
    - models/bert-large-uncased-squad1
    - models/roberta-base-squad1
    - models/roberta-large-squad1
    outs:
    - data/football/full/predictions/squad1/baseline-albert-base-v2-squad1.json
    - data/football/full/predictions/squad1/baseline-albert-large-v2-squad1.json
    - data/football/full/predictions/squad1/baseline-albert-xlarge-v2-squad1.json
    - data/football/full/predictions/squad1/baseline-albert-xxlarge-v2-squad1.json
    - data/football/full/predictions/squad1/baseline-bert-base-uncased-squad1.json
    - data/football/full/predictions/squad1/baseline-bert-large-uncased-squad1.json
    - data/football/full/predictions/squad1/baseline-roberta-base-squad1.json
    - data/football/full/predictions/squad1/baseline-roberta-large-squad1.json
    - data/football/full/predictions/squad1/control-albert-base-v2-squad1.json
    - data/football/full/predictions/squad1/control-albert-large-v2-squad1.json
    - data/football/full/predictions/squad1/control-albert-xlarge-v2-squad1.json
    - data/football/full/predictions/squad1/control-albert-xxlarge-v2-squad1.json
    - data/football/full/predictions/squad1/control-bert-base-uncased-squad1.json
    - data/football/full/predictions/squad1/control-bert-large-uncased-squad1.json
    - data/football/full/predictions/squad1/control-roberta-base-squad1.json
    - data/football/full/predictions/squad1/control-roberta-large-squad1.json
    - data/football/full/predictions/squad1/intervention-albert-base-v2-squad1.json
    - data/football/full/predictions/squad1/intervention-albert-large-v2-squad1.json
    - data/football/full/predictions/squad1/intervention-albert-xlarge-v2-squad1.json
    - data/football/full/predictions/squad1/intervention-albert-xxlarge-v2-squad1.json
    - data/football/full/predictions/squad1/intervention-bert-base-uncased-squad1.json
    - data/football/full/predictions/squad1/intervention-bert-large-uncased-squad1.json
    - data/football/full/predictions/squad1/intervention-roberta-base-squad1.json
    - data/football/full/predictions/squad1/intervention-roberta-large-squad1.json
  evaluate-intervention-squad1:
    cmd: python main.py evaluate-intervention --baseline-file data/football/full/baseline.json
      --predictions-folder data/football/full/predictions/squad1 --control --output
      metrics/football/squad1/eoi.json --split-reasoning --split-num-modifier --split-sam
      --do-save
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - data/football/full/predictions/squad1
    - scripts/evaluate_intervention.py
    metrics:
    - metrics/football/squad1/eoi.json:
        cache: false
  train-bert-base-uncased-on-hotpotqa:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/hotpotqa/train.json
      --model-path bert-base-uncased --model-type bert --eval-file data/datasets/hotpotqa/dev.json
      --save-model-folder models/bert-base-uncased-hotpotqa --do-eval-after-training
      --num-workers 32 --per-gpu-train-batch-size 32 --max-answer-length 30 --gradient-accumulation-steps
      8 --fp16 --debug-features --save-steps 0
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/bert-base-uncased-hotpotqa
  train-bert-large-uncased-on-hotpotqa:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk train data/datasets/hotpotqa/train.json
      --model-path bert-large-uncased --model-type bert --eval-file data/datasets/hotpotqa/dev.json
      --save-model-folder models/bert-large-uncased-hotpotqa --do-eval-after-training
      --num-workers 32 --per-gpu-train-batch-size 4 --max-answer-length 30 --gradient-accumulation-steps
      64 --fp16 --debug-features --save-steps 0 --num-train-epochs 2
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/bert-large-uncased-hotpotqa
  train-roberta-base-on-hotpotqa:
    cmd: MODEL=roberta-base CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/hotpotqa/
      SAVE_TO=models/roberta-base-hotpotqa BATCH_SIZE=32 ACC_STEPS=8 MODEL_TYPE=roberta
      bash scripts/cache_and_train_hotpotqa.sh
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/roberta-base-hotpotqa
  train-roberta-large-on-hotpotqa:
    cmd: MODEL=roberta-large CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/hotpotqa/
      SAVE_TO=models/roberta-large-hotpotqa BATCH_SIZE=6 ACC_STEPS=43 MODEL_TYPE=roberta
      bash scripts/cache_and_train_hotpotqa.sh
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/roberta-large-hotpotqa
  train-albert-base-v2-on-hotpotqa:
    cmd: MODEL=albert-base-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/hotpotqa/
      SAVE_TO=models/albert-base-v2-hotpotqa BATCH_SIZE=24 ACC_STEPS=11 MODEL_TYPE=albert
      bash scripts/cache_and_train_hotpotqa.sh
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/albert-base-v2-hotpotqa
  train-albert-large-v2-on-hotpotqa:
    cmd: MODEL=albert-large-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/hotpotqa/
      SAVE_TO=models/albert-large-v2-hotpotqa BATCH_SIZE=8 ACC_STEPS=32 MODEL_TYPE=albert
      bash scripts/cache_and_train_hotpotqa.sh
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/albert-large-v2-hotpotqa
  train-albert-xlarge-v2-on-hotpotqa:
    cmd: MODEL=albert-xlarge-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/hotpotqa/
      SAVE_TO=models/albert-xlarge-v2-hotpotqa BATCH_SIZE=4 ACC_STEPS=64 MODEL_TYPE=albert
      bash scripts/cache_and_train_hotpotqa.sh
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/albert-xlarge-v2-hotpotqa
  train-albert-xxlarge-v2-on-hotpotqa:
    cmd: MODEL=albert-xxlarge-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/hotpotqa/
      SAVE_TO=models/albert-xxlarge-v2-hotpotqa BATCH_SIZE=2 ACC_STEPS=128 MODEL_TYPE=albert
      bash scripts/cache_and_train_hotpotqa.sh
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/albert-xxlarge-v2-hotpotqa
  train-bert-base-uncased-on-wikihop:
    cmd: MODEL=bert-base-uncased CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/wikihop/
      SAVE_TO=models/bert-base-uncased-wikihop BATCH_SIZE=32 ACC_STEPS=8 MODEL_TYPE=bert
      bash scripts/cache_and_train_wikihop.sh
    deps:
    - data/datasets/wikihop/dev.json
    - data/datasets/wikihop/train.json
    outs:
    - models/bert-base-uncased-wikihop
  train-bert-base-uncased-on-searchqa:
    cmd: MODEL=bert-base-uncased CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/searchqa/
      SAVE_TO=models/bert-base-uncased-searchqa BATCH_SIZE=32 ACC_STEPS=8 MODEL_TYPE=bert
      bash scripts/cache_and_train_searchqa.sh
    deps:
    - data/datasets/searchqa/dev.json
    - data/datasets/searchqa/train.json
    outs:
    - models/bert-base-uncased-searchqa
  train-bert-large-uncased-on-searchqa:
    cmd: MODEL=bert-large-uncased CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/searchqa/
      SAVE_TO=models/bert-large-uncased-searchqa BATCH_SIZE=4 ACC_STEPS=64 MODEL_TYPE=bert
      bash scripts/cache_and_train_searchqa.sh
    deps:
    - data/datasets/searchqa/dev.json
    - data/datasets/searchqa/train.json
    outs:
    - models/bert-large-uncased-searchqa
  train-bert-base-uncased-on-drop:
    cmd: MODEL=bert-base-uncased CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/bert-base-uncased-drop BATCH_SIZE=32 ACC_STEPS=8 MODEL_TYPE=bert
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/bert-base-uncased-drop
  train-bert-large-uncased-on-drop:
    cmd: MODEL=bert-large-uncased CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/bert-large-uncased-drop BATCH_SIZE=4 ACC_STEPS=32 MODEL_TYPE=bert
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/bert-large-uncased-drop
  train-roberta-base-on-drop:
    cmd: MODEL=roberta-base CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/roberta-base-drop BATCH_SIZE=32 ACC_STEPS=8 MODEL_TYPE=roberta
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/roberta-base-drop
  train-roberta-large-on-drop:
    cmd: MODEL=roberta-large CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/roberta-large-drop BATCH_SIZE=6 ACC_STEPS=43 MODEL_TYPE=roberta
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/roberta-large-drop
  train-albert-base-v2-on-drop:
    cmd: MODEL=albert-base-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/albert-base-v2-drop BATCH_SIZE=24 ACC_STEPS=11 MODEL_TYPE=albert
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/albert-base-v2-drop
  train-albert-large-v2-on-drop:
    cmd: MODEL=albert-large-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/albert-large-v2-drop BATCH_SIZE=8 ACC_STEPS=32 MODEL_TYPE=albert
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/albert-large-v2-drop
  train-albert-xlarge-v2-on-drop:
    cmd: MODEL=albert-xlarge-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/albert-xlarge-v2-drop BATCH_SIZE=4 ACC_STEPS=64 MODEL_TYPE=albert
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/albert-xlarge-v2-drop
  train-albert-xxlarge-v2-on-drop:
    cmd: MODEL=albert-xxlarge-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/drop/
      SAVE_TO=models/albert-xxlarge-v2-drop BATCH_SIZE=2 ACC_STEPS=128 MODEL_TYPE=albert
      bash scripts/cache_and_train_drop.sh
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/albert-xxlarge-v2-drop
  train-bert-base-uncased-on-newsqa:
    cmd: MODEL=bert-base-uncased CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/bert-base-uncased-newsqa BATCH_SIZE=32 ACC_STEPS=8 MODEL_TYPE=bert-base-uncased
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/bert-base-uncased-newsqa
  train-bert-large-uncased-on-newsqa:
    cmd: MODEL=bert-large-uncased CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/bert-large-uncased-newsqa BATCH_SIZE=4 ACC_STEPS=32 MODEL_TYPE=bert
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/bert-large-uncased-newsqa
  train-roberta-base-on-newsqa:
    cmd: MODEL=roberta-base CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/roberta-base-newsqa BATCH_SIZE=32 ACC_STEPS=8 MODEL_TYPE=roberta
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/roberta-base-newsqa
  train-roberta-large-on-newsqa:
    cmd: MODEL=roberta-large CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/roberta-large-newsqa BATCH_SIZE=6 ACC_STEPS=43 MODEL_TYPE=roberta
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/roberta-large-newsqa
  train-albert-base-v2-on-newsqa:
    cmd: MODEL=albert-base-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/albert-base-v2-newsqa BATCH_SIZE=24 ACC_STEPS=11 MODEL_TYPE=albert
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/albert-base-v2-newsqa
  train-albert-large-v2-on-newsqa:
    cmd: MODEL=albert-large-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/albert-large-v2-newsqa BATCH_SIZE=8 ACC_STEPS=32 MODEL_TYPE=albert
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/albert-large-v2-newsqa
  train-albert-xlarge-v2-on-newsqa:
    cmd: MODEL=albert-xlarge-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/albert-xlarge-v2-newsqa BATCH_SIZE=4 ACC_STEPS=64 MODEL_TYPE=albert
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/albert-xlarge-v2-newsqa
  predict-transformers-hotpotqa:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk predictions
      data/football/full/baseline.json data/football/full/intervention.json data/football/full/control.json
      --model-path models/albert-base-v2-hotpotqa --model-type albert --model-path
      models/albert-large-v2-hotpotqa --model-type albert --model-path models/albert-xlarge-v2-hotpotqa
      --model-type albert --model-path models/albert-xxlarge-v2-hotpotqa --model-type
      albert --model-path models/bert-base-uncased-hotpotqa --model-type bert --model-path
      models/bert-large-uncased-hotpotqa --model-type bert --model-path models/roberta-base-hotpotqa
      --model-type roberta --model-path models/roberta-large-hotpotqa --model-type
      roberta --out-folder data/football/full/predictions/hotpotqa --max-answer-length
      10
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/albert-base-v2-hotpotqa
    - models/albert-large-v2-hotpotqa
    - models/albert-xlarge-v2-hotpotqa
    - models/albert-xxlarge-v2-hotpotqa
    - models/bert-base-uncased-hotpotqa
    - models/bert-large-uncased-hotpotqa
    - models/roberta-base-hotpotqa
    - models/roberta-large-hotpotqa
    outs:
    - data/football/full/predictions/hotpotqa/baseline-albert-base-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/baseline-albert-large-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/baseline-albert-xlarge-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/baseline-albert-xxlarge-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/baseline-bert-base-uncased-hotpotqa.json
    - data/football/full/predictions/hotpotqa/baseline-bert-large-uncased-hotpotqa.json
    - data/football/full/predictions/hotpotqa/baseline-roberta-base-hotpotqa.json
    - data/football/full/predictions/hotpotqa/baseline-roberta-large-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-albert-base-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-albert-large-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-albert-xlarge-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-albert-xxlarge-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-bert-base-uncased-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-bert-large-uncased-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-roberta-base-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-roberta-large-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-albert-base-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-albert-large-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-albert-xlarge-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-albert-xxlarge-v2-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-bert-base-uncased-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-bert-large-uncased-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-roberta-base-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-roberta-large-hotpotqa.json
  predict-transformers-drop:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk predictions
      data/football/full/baseline.json data/football/full/intervention.json data/football/full/control.json
      --model-path models/albert-base-v2-drop --model-type albert --model-path models/albert-large-v2-drop
      --model-type albert --model-path models/albert-xlarge-v2-drop --model-type albert
      --model-path models/albert-xxlarge-v2-drop --model-type albert --model-path
      models/bert-base-uncased-drop --model-type bert --model-path models/bert-large-uncased-drop
      --model-type bert --model-path models/roberta-base-drop --model-type roberta
      --model-path models/roberta-large-drop --model-type roberta --out-folder data/football/full/predictions/drop
      --max-answer-length 10 --num-workers 8
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/albert-base-v2-drop
    - models/albert-large-v2-drop
    - models/albert-xlarge-v2-drop
    - models/albert-xxlarge-v2-drop
    - models/bert-base-uncased-drop
    - models/bert-large-uncased-drop
    - models/roberta-base-drop
    - models/roberta-large-drop
    outs:
    - data/football/full/predictions/drop/baseline-albert-base-v2-drop.json
    - data/football/full/predictions/drop/baseline-albert-large-v2-drop.json
    - data/football/full/predictions/drop/baseline-albert-xlarge-v2-drop.json
    - data/football/full/predictions/drop/baseline-albert-xxlarge-v2-drop.json
    - data/football/full/predictions/drop/baseline-bert-base-uncased-drop.json
    - data/football/full/predictions/drop/baseline-bert-large-uncased-drop.json
    - data/football/full/predictions/drop/baseline-roberta-base-drop.json
    - data/football/full/predictions/drop/baseline-roberta-large-drop.json
    - data/football/full/predictions/drop/control-albert-base-v2-drop.json
    - data/football/full/predictions/drop/control-albert-large-v2-drop.json
    - data/football/full/predictions/drop/control-albert-xlarge-v2-drop.json
    - data/football/full/predictions/drop/control-albert-xxlarge-v2-drop.json
    - data/football/full/predictions/drop/control-bert-base-uncased-drop.json
    - data/football/full/predictions/drop/control-bert-large-uncased-drop.json
    - data/football/full/predictions/drop/control-roberta-base-drop.json
    - data/football/full/predictions/drop/control-roberta-large-drop.json
    - data/football/full/predictions/drop/intervention-albert-base-v2-drop.json
    - data/football/full/predictions/drop/intervention-albert-large-v2-drop.json
    - data/football/full/predictions/drop/intervention-albert-xlarge-v2-drop.json
    - data/football/full/predictions/drop/intervention-albert-xxlarge-v2-drop.json
    - data/football/full/predictions/drop/intervention-bert-base-uncased-drop.json
    - data/football/full/predictions/drop/intervention-bert-large-uncased-drop.json
    - data/football/full/predictions/drop/intervention-roberta-base-drop.json
    - data/football/full/predictions/drop/intervention-roberta-large-drop.json
  predict-transformers-newsqa:
    cmd: python main.py --debug --notify viktor.schlegel@manchester.ac.uk predictions
      data/football/full/baseline.json data/football/full/intervention.json data/football/full/control.json
      --model-path models/albert-base-v2-newsqa --model-type albert --model-path models/albert-large-v2-newsqa
      --model-type albert --model-path models/albert-xlarge-v2-newsqa --model-type
      albert --model-path models/albert-xxlarge-v2-newsqa --model-type albert --model-path
      models/bert-base-uncased-newsqa --model-type bert --model-path models/bert-large-uncased-newsqa
      --model-type bert --model-path models/roberta-base-newsqa --model-type roberta
      --model-path models/roberta-large-newsqa --model-type roberta --out-folder data/football/full/predictions/newsqa
      --max-answer-length 10 --num-workers 8
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/albert-base-v2-newsqa
    - models/albert-large-v2-newsqa
    - models/albert-xlarge-v2-newsqa
    - models/albert-xxlarge-v2-newsqa
    - models/bert-base-uncased-newsqa
    - models/bert-large-uncased-newsqa
    - models/roberta-base-newsqa
    - models/roberta-large-newsqa
    outs:
    - data/football/full/predictions/newsqa/baseline-albert-base-v2-newsqa.json
    - data/football/full/predictions/newsqa/baseline-albert-large-v2-newsqa.json
    - data/football/full/predictions/newsqa/baseline-albert-xlarge-v2-newsqa.json
    - data/football/full/predictions/newsqa/baseline-albert-xxlarge-v2-newsqa.json
    - data/football/full/predictions/newsqa/baseline-bert-base-uncased-newsqa.json
    - data/football/full/predictions/newsqa/baseline-bert-large-uncased-newsqa.json
    - data/football/full/predictions/newsqa/baseline-roberta-base-newsqa.json
    - data/football/full/predictions/newsqa/baseline-roberta-large-newsqa.json
    - data/football/full/predictions/newsqa/control-albert-base-v2-newsqa.json
    - data/football/full/predictions/newsqa/control-albert-large-v2-newsqa.json
    - data/football/full/predictions/newsqa/control-albert-xlarge-v2-newsqa.json
    - data/football/full/predictions/newsqa/control-albert-xxlarge-v2-newsqa.json
    - data/football/full/predictions/newsqa/control-bert-base-uncased-newsqa.json
    - data/football/full/predictions/newsqa/control-bert-large-uncased-newsqa.json
    - data/football/full/predictions/newsqa/control-roberta-base-newsqa.json
    - data/football/full/predictions/newsqa/control-roberta-large-newsqa.json
    - data/football/full/predictions/newsqa/intervention-albert-base-v2-newsqa.json
    - data/football/full/predictions/newsqa/intervention-albert-large-v2-newsqa.json
    - data/football/full/predictions/newsqa/intervention-albert-xlarge-v2-newsqa.json
    - data/football/full/predictions/newsqa/intervention-albert-xxlarge-v2-newsqa.json
    - data/football/full/predictions/newsqa/intervention-bert-base-uncased-newsqa.json
    - data/football/full/predictions/newsqa/intervention-bert-large-uncased-newsqa.json
    - data/football/full/predictions/newsqa/intervention-roberta-base-newsqa.json
    - data/football/full/predictions/newsqa/intervention-roberta-large-newsqa.json
  evaluate-intervention-hotpotqa:
    cmd: python main.py evaluate-intervention --baseline-file data/football/full/baseline.json
      --predictions-folder data/football/full/predictions/hotpotqa --control --output
      metrics/football/hotpotqa/eoi.json --split-reasoning --split-num-modifier --split-sam
      --do-save
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - data/football/full/predictions/hotpotqa
    - scripts/evaluate_intervention.py
    metrics:
    - metrics/football/hotpotqa/eoi.json:
        cache: false
  evaluate-intervention-drop:
    cmd: python main.py evaluate-intervention --baseline-file data/football/full/baseline.json
      --predictions-folder data/football/full/predictions/drop --control --output
      metrics/football/drop/eoi.json --split-reasoning --split-num-modifier --split-sam
      --do-save
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - data/football/full/predictions/drop
    - scripts/evaluate_intervention.py
    metrics:
    - metrics/football/drop/eoi.json:
        cache: false
  evaluate-intervention-newsqa:
    cmd: python main.py evaluate-intervention --baseline-file data/football/full/baseline.json
      --predictions-folder data/football/full/predictions/newsqa --control --output
      metrics/football/newsqa/eoi.json --split-reasoning --split-num-modifier --split-sam
      --do-save
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - data/football/full/predictions/newsqa
    - scripts/evaluate_intervention.py
    metrics:
    - metrics/football/newsqa/eoi.json:
        cache: false
  train-albert-xxlarge-v2-on-newsqa:
    cmd: MODEL=albert-xxlarge-v2 CACHE_LOCATION=/mnt/iusers01/gb01/z07959vs/localscratch/newsqa/
      SAVE_TO=models/albert-xxlarge-v2-newsqa BATCH_SIZE=2 ACC_STEPS=128 MODEL_TYPE=albert
      bash scripts/cache_and_train_newsqa.sh
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train.json
    outs:
    - models/albert-xxlarge-v2-newsqa
  train-bidaf-on-drop:
    cmd: TRAIN_SET=data/datasets/drop/train.json EVAL_SET=data/datasets/drop/dev.json
      CUDA=0 MULT=2 allennlp train conf/bidaf.jsonnet -s models/bidaf-drop
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/bidaf-drop
  train-bidaf-on-squad1:
    cmd: TRAIN_SET=data/datasets/squad1/train-v1.1.json EVAL_SET=data/datasets/squad1/dev-v1.1.json
      CUDA=0 MULT=1 allennlp train conf/bidaf.jsonnet -s models/bidaf-squad1
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/bidaf-squad1
  train-bidaf-on-hotpotqa:
    cmd: TRAIN_SET=data/datasets/hotpotqa/train.json EVAL_SET=data/datasets/hotpotqa/dev.json
      CUDA=0 MULT=1 allennlp train conf/bidaf-hqa.jsonnet -s models/bidaf-hotpotqa
    deps:
    - data/datasets/hotpotqa/dev.json
    - data/datasets/hotpotqa/train.json
    outs:
    - models/bidaf-hotpotqa
  fix-newsqa-for-bidaf:
    cmd: python main.py fix-newsqa-for-bidaf
    deps:
    - data/datasets/newsqa/train.json
    outs:
    - data/datasets/newsqa/train-fixed.json
  train-bidaf-elmo-on-squad1:
    cmd: TRAIN_SET=data/datasets/squad1/train-v1.1.json EVAL_SET=data/datasets/squad1/dev-v1.1.json
      CUDA=0 MULT=1 allennlp train conf/bidaf-elmo.jsonnet -s models/bidaf-elmo-squad1
    deps:
    - data/datasets/squad1/dev-v1.1.json
    - data/datasets/squad1/train-v1.1.json
    outs:
    - models/bidaf-elmo-squad1
  train-bidaf-elmo-on-drop:
    cmd: TRAIN_SET=data/datasets/drop/train.json EVAL_SET=data/datasets/drop/dev.json
      CUDA=0 MULT=2 allennlp train conf/bidaf-elmo-drop.jsonnet -s models/bidaf-elmo-drop
    deps:
    - data/datasets/drop/dev.json
    - data/datasets/drop/train.json
    outs:
    - models/bidaf-elmo-drop
  train-bidaf-on-newsqa:
    cmd: TRAIN_SET=data/datasets/newsqa/train-fixed.json EVAL_SET=data/datasets/newsqa/dev.json
      CUDA=0 MULT=1 allennlp train conf/bidaf.jsonnet -s models/bidaf-newsqa
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train-fixed.json
    outs:
    - models/bidaf-newsqa
  train-bidaf-elmo-on-newsqa:
    cmd: TRAIN_SET=data/datasets/newsqa/train-fixed.json EVAL_SET=data/datasets/newsqa/dev.json
      CUDA=0 MULT=1 allennlp train conf/bidaf-elmo-newsqa.jsonnet -s models/bidaf-elmo-newsqa
    deps:
    - data/datasets/newsqa/dev.json
    - data/datasets/newsqa/train-fixed.json
    outs:
    - models/bidaf-elmo-newsqa
  predict-bidaf-on-squad1:
    cmd: mkdir -p data/football/full/predictions/squad1 &&allennlp predict models/bidaf-squad1/model.tar.gz
      data/football/full/baseline.json --output-file data/football/full/predictions/squad1/baseline-bidaf-squad1.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/baseline.json data/football/full/predictions/squad1/baseline-bidaf-squad1.json
      && allennlp predict models/bidaf-squad1/model.tar.gz data/football/full/intervention.json
      --output-file data/football/full/predictions/squad1/intervention-bidaf-squad1.json
      --cuda-device 0 --use-dataset-reader --silent &&python main.py convert-allennlp
      data/football/full/intervention.json data/football/full/predictions/squad1/intervention-bidaf-squad1.json
      &&allennlp predict models/bidaf-squad1/model.tar.gz data/football/full/control.json
      --output-file data/football/full/predictions/squad1/control-bidaf-squad1.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/control.json data/football/full/predictions/squad1/control-bidaf-squad1.json
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/bidaf-squad1/model.tar.gz
    outs:
    - data/football/full/predictions/squad1/baseline-bidaf-squad1.json
    - data/football/full/predictions/squad1/control-bidaf-squad1.json
    - data/football/full/predictions/squad1/intervention-bidaf-squad1.json
  predict-bidaf-on-hotpotqa:
    cmd: mkdir -p data/football/full/predictions/hotpotqa &&allennlp predict models/bidaf-hotpotqa/model.tar.gz
      data/football/full/baseline.json --output-file data/football/full/predictions/hotpotqa/baseline-bidaf-hotpotqa.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/baseline.json data/football/full/predictions/hotpotqa/baseline-bidaf-hotpotqa.json
      && allennlp predict models/bidaf-hotpotqa/model.tar.gz data/football/full/intervention.json
      --output-file data/football/full/predictions/hotpotqa/intervention-bidaf-hotpotqa.json
      --cuda-device 0 --use-dataset-reader --silent &&python main.py convert-allennlp
      data/football/full/intervention.json data/football/full/predictions/hotpotqa/intervention-bidaf-hotpotqa.json
      &&allennlp predict models/bidaf-hotpotqa/model.tar.gz data/football/full/control.json
      --output-file data/football/full/predictions/hotpotqa/control-bidaf-hotpotqa.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/control.json data/football/full/predictions/hotpotqa/control-bidaf-hotpotqa.json
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/bidaf-hotpotqa/model.tar.gz
    outs:
    - data/football/full/predictions/hotpotqa/baseline-bidaf-hotpotqa.json
    - data/football/full/predictions/hotpotqa/control-bidaf-hotpotqa.json
    - data/football/full/predictions/hotpotqa/intervention-bidaf-hotpotqa.json
  predict-bidaf-on-newsqa:
    cmd: mkdir -p data/football/full/predictions/newsqa &&allennlp predict models/bidaf-newsqa/model.tar.gz
      data/football/full/baseline.json --output-file data/football/full/predictions/newsqa/baseline-bidaf-newsqa.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/baseline.json data/football/full/predictions/newsqa/baseline-bidaf-newsqa.json
      && allennlp predict models/bidaf-newsqa/model.tar.gz data/football/full/intervention.json
      --output-file data/football/full/predictions/newsqa/intervention-bidaf-newsqa.json
      --cuda-device 0 --use-dataset-reader --silent &&python main.py convert-allennlp
      data/football/full/intervention.json data/football/full/predictions/newsqa/intervention-bidaf-newsqa.json
      &&allennlp predict models/bidaf-newsqa/model.tar.gz data/football/full/control.json
      --output-file data/football/full/predictions/newsqa/control-bidaf-newsqa.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/control.json data/football/full/predictions/newsqa/control-bidaf-newsqa.json
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/bidaf-newsqa/model.tar.gz
    outs:
    - data/football/full/predictions/newsqa/baseline-bidaf-newsqa.json
    - data/football/full/predictions/newsqa/control-bidaf-newsqa.json
    - data/football/full/predictions/newsqa/intervention-bidaf-newsqa.json
  predict-bidaf-on-drop:
    cmd: mkdir -p data/football/full/predictions/drop &&allennlp predict models/bidaf-drop/model.tar.gz
      data/football/full/baseline.json --output-file data/football/full/predictions/drop/baseline-bidaf-drop.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/baseline.json data/football/full/predictions/drop/baseline-bidaf-drop.json
      && allennlp predict models/bidaf-drop/model.tar.gz data/football/full/intervention.json
      --output-file data/football/full/predictions/drop/intervention-bidaf-drop.json
      --cuda-device 0 --use-dataset-reader --silent &&python main.py convert-allennlp
      data/football/full/intervention.json data/football/full/predictions/drop/intervention-bidaf-drop.json
      &&allennlp predict models/bidaf-drop/model.tar.gz data/football/full/control.json
      --output-file data/football/full/predictions/drop/control-bidaf-drop.json --cuda-device
      0 --use-dataset-reader --silent && python main.py convert-allennlp data/football/full/control.json
      data/football/full/predictions/drop/control-bidaf-drop.json
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/bidaf-drop/model.tar.gz
    outs:
    - data/football/full/predictions/drop/baseline-bidaf-drop.json
    - data/football/full/predictions/drop/control-bidaf-drop.json
    - data/football/full/predictions/drop/intervention-bidaf-drop.json
  predict-bidaf-elmo-on-newsqa:
    cmd: mkdir -p data/football/full/predictions/newsqa &&allennlp predict models/bidaf-elmo-newsqa/model.tar.gz
      data/football/full/baseline.json --output-file data/football/full/predictions/newsqa/baseline-bidaf-elmo-newsqa.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/baseline.json data/football/full/predictions/newsqa/baseline-bidaf-elmo-newsqa.json
      && allennlp predict models/bidaf-elmo-newsqa/model.tar.gz data/football/full/intervention.json
      --output-file data/football/full/predictions/newsqa/intervention-bidaf-elmo-newsqa.json
      --cuda-device 0 --use-dataset-reader --silent &&python main.py convert-allennlp
      data/football/full/intervention.json data/football/full/predictions/newsqa/intervention-bidaf-elmo-newsqa.json
      &&allennlp predict models/bidaf-elmo-newsqa/model.tar.gz data/football/full/control.json
      --output-file data/football/full/predictions/newsqa/control-bidaf-elmo-newsqa.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/control.json data/football/full/predictions/newsqa/control-bidaf-elmo-newsqa.json
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/bidaf-elmo-newsqa/model.tar.gz
    outs:
    - data/football/full/predictions/newsqa/baseline-bidaf-elmo-newsqa.json
    - data/football/full/predictions/newsqa/control-bidaf-elmo-newsqa.json
    - data/football/full/predictions/newsqa/intervention-bidaf-elmo-newsqa.json
  predict-bidaf-elmo-on-squad1:
    cmd: mkdir -p data/football/full/predictions/squad1 &&allennlp predict models/bidaf-elmo-squad1/model.tar.gz
      data/football/full/baseline.json --output-file data/football/full/predictions/squad1/baseline-bidaf-elmo-squad1.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/baseline.json data/football/full/predictions/squad1/baseline-bidaf-elmo-squad1.json
      && allennlp predict models/bidaf-elmo-squad1/model.tar.gz data/football/full/intervention.json
      --output-file data/football/full/predictions/squad1/intervention-bidaf-elmo-squad1.json
      --cuda-device 0 --use-dataset-reader --silent &&python main.py convert-allennlp
      data/football/full/intervention.json data/football/full/predictions/squad1/intervention-bidaf-elmo-squad1.json
      &&allennlp predict models/bidaf-elmo-squad1/model.tar.gz data/football/full/control.json
      --output-file data/football/full/predictions/squad1/control-bidaf-elmo-squad1.json
      --cuda-device 0 --use-dataset-reader --silent && python main.py convert-allennlp
      data/football/full/control.json data/football/full/predictions/squad1/control-bidaf-elmo-squad1.json
    deps:
    - data/football/full/baseline.json
    - data/football/full/control.json
    - data/football/full/intervention.json
    - models/bidaf-elmo-squad1/model.tar.gz
    outs:
    - data/football/full/predictions/squad1/baseline-bidaf-elmo-squad1.json
    - data/football/full/predictions/squad1/control-bidaf-elmo-squad1.json
    - data/football/full/predictions/squad1/intervention-bidaf-elmo-squad1.json