client_group_1:
  data:
    batch_size: 32
    max_seq_len: 128
  model:
    task: imdb
    num_labels: 2
  train:
    local_update_steps: 2000
  eval:
    metrics: ['acc']
client_group_2:
  data:
    batch_size: 32
    max_seq_len: 128
  model:
    task: agnews
    num_labels: 4
  train:
    local_update_steps: 2000
  eval:
    metrics: ['acc']
client_group_3:
  data:
    batch_size: 32
    max_seq_len: 384
    max_query_len: 128
    trunc_stride: 128
  model:
    task: squad
    num_labels: 2
    n_best_size: 20
    max_answer_len: 30
    null_score_diff_threshold: 0.0
  train:
    local_update_steps: 2000
  eval:
    metrics: ['squad']
client_group_4:
  data:
    batch_size: 32
    max_seq_len: 384
    max_query_len: 128
    trunc_stride: 128
  model:
    task: newsqa
    num_labels: 2
    n_best_size: 20
    max_answer_len: 30
    null_score_diff_threshold: 0.0
  train:
    local_update_steps: 20000
  eval:
    metrics: ['newsqa']
client_group_5:
  data:
    batch_size: 32
    max_seq_len: 384
    max_tgt_len: 128
  model:
    task: cnndm
    max_length: 150
    min_length: 50
    no_repeat_ngram_size: 3
    length_penalty: 2.0
    num_beams: 5
    label_smoothing: 0.1
  train:
    local_update_steps: 20000
  eval:
    metrics: ['cnndm']
client_group_6:
  data:
    batch_size: 32
    max_seq_len: 384
    max_tgt_len: 64
  model:
    task: msqg
    max_length: 100
    min_length: 1
    no_repeat_ngram_size: 3
    length_penalty: 2.0
    num_beams: 5
    label_smoothing: 0.1
  train:
    local_update_steps: 20000
  eval:
    metrics: ['msqg']