src/model_arcifacts/fusion_config_mix_squawiki_question_table_input_no_sql.yaml [13:48]:
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  passage_type: tabular
  num_beams: 1
  num_return_sequences: 1
  enable_sql_supervision: false

# model
model:
  config_name: null
  model_name: t5-base
  tokenizer_name: null
  cache_dir: /tmp/cache/
  use_fast: true
  checkpoint_dir: null
  model_checkpoint: null

# optim
optim:
  train_batch_size: 16
  dev_batch_size: 32
  test_batch_size: 32
  warmup_steps: 0.1
  weight_decay: 0.01
  learning_rate: 1e-4
  adam_epsilon: 1e-8
  seed: 42
  logging_dir: /tmp/wandb/

# trainer
trainer:
  gpus: '0,1,2,3,4,5,6,7'  # use all gpus
  distributed_backend: dp
  val_check_interval: 1000
  max_steps: 10000
  accumulate_grad_batches: 1
  gradient_clip_val: 1.0
  precision: 16
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src/model_arcifacts/fusion_config_wikisql_question_table_input_no_sql.yaml [13:48]:
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  passage_type: tabular
  num_beams: 1
  num_return_sequences: 1
  enable_sql_supervision: false

# model
model:
  config_name: null
  model_name: t5-base
  tokenizer_name: null
  cache_dir: /tmp/cache/
  use_fast: true
  checkpoint_dir: null
  model_checkpoint: null

# optim
optim:
  train_batch_size: 16
  dev_batch_size: 32
  test_batch_size: 32
  warmup_steps: 0.1
  weight_decay: 0.01
  learning_rate: 1e-4
  adam_epsilon: 1e-8
  seed: 42
  logging_dir: /tmp/wandb/

# trainer
trainer:
  gpus: '0,1,2,3,4,5,6,7'  # use all gpus
  distributed_backend: dp
  val_check_interval: 1000
  max_steps: 10000
  accumulate_grad_batches: 1
  gradient_clip_val: 1.0
  precision: 16
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