name: bert-classification

conda_env: conda.yaml

entry_points:
  main:
    parameters:
      max_epochs: {type: int, default: 5}
      gpus: {type: int, default: 0}
      accelerator: {type str, default: "None"}
      batch_size: {type: int, default: 64}
      num_workers: {type: int, default: 3}
      learning_rate: {type: float, default: 0.001}
      num_samples: {type: int, default: 2000}
      dataset: {type: str, default: "20newsgroups"}

    command: |
          python bert_classification.py \
            --max_epochs {max_epochs} \
            --gpus {gpus} \
            --accelerator {accelerator} \
            --batch_size {batch_size} \
            --num_workers {num_workers} \
            --num_samples {num_samples} \
            --lr {learning_rate} \
            --dataset {dataset}
