SuperposPrompt_Thesis/09_Cluster/config9.yaml

default: &default
  use_tqdm: true 
  random_seed: 42
  base_save_path: /home/msadraei/trained_final
  model_name: google/t5-small-lm-adapt
  project_name_prefix: iclr_attempt_lmt5
  experiment_name_suffix: null
  train_batch_size: 32
  valid_batch_size: 32
  remove_dropout: true
  learning_rate: 0.01
  weight_decay: 0.01
  num_epochs: 40
  peft_params: null  # no mutation
  hot_modules:
  - sadcl
  best_finder:
    save: True
    metric: valid_mean
    higher_better: true
  tasks:
  # - superglue:rte
  # - superglue:cb
  # - superglue:wic
  # - superglue:copa
  # - glue:cola
  # - glue:mrpc
  # - superglue:boolq
  # - glue:stsb
  - superglue:multirc
  
pp: &pp
  - /home/msadraei/trained_final/hzi_cluster_t5_small_glue-mnli/10_combine_128
  - /home/msadraei/trained_final/hzi_cluster_t5_small_glue-sst2/10_combine_128
  - /home/msadraei/trained_final/hzi_cluster_t5_small_glue-qqp/10_combine_128
  - /home/msadraei/trained_final/hzi_cluster_t5_small_glue-qnli/10_combine_128

run_configs:
# - <<: *default
#   learning_rate: 0.3
#   weight_decay: 0.00001
#   peft_params:
#     kind: attempt
#     n_tokens: 10
#     g_bottleneck: 100
#     pretrained_paths: *pp
# - <<: *default_large
#   learning_rate: 0.3
#   weight_decay: 0.00001
#   peft_params:
#     kind: attempt
#     n_tokens: 10
#     g_bottleneck: 100
#     pretrained_paths: *pp
- <<: *default
  learning_rate: 0.3
  remove_dropout: false
  experiment_name_suffix: dropout
  weight_decay: 0.00001
  peft_params:
    kind: attempt
    n_tokens: 10
    g_bottleneck: 100
    pretrained_paths: *pp
# - <<: *default_large
#   learning_rate: 0.3
#   remove_dropout: false
#   experiment_name_suffix: dropout
#   weight_decay: 0.00001
#   peft_params:
#     kind: attempt
#     n_tokens: 10
#     g_bottleneck: 100
#     pretrained_paths: *pp