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@@ -25,4 +25,4 @@ machine.file* | |
| *hf-cache* | ||
| *.pyc | ||
| slurm_other | ||
| plot_dfs | ||
| plot_dfs | ||
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| data_arguments: | ||
| dataset: "cvdb" | ||
| block_size: 48 | ||
| label_block_size: 8 | ||
| train_subset: 'full' | ||
| num_ents: 4000 | ||
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| frac_n_qd1consis: 0.25 | ||
| frac_n_qd1incons: 0.0 | ||
| frac_n_qd2consis: 0.0 | ||
| frac_n_qd2incons: 0.25 | ||
| frac_n_q_no_replacement_baseline: 0.1 | ||
| frac_n_q: 0.1 | ||
| frac_n_d1consis: 0.1 | ||
| frac_n_d2consis: 0.1 | ||
| frac_n_d3consis: 0.0 | ||
| frac_n_no_qd_baseline: 0.1 | ||
|
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| model_arguments: | ||
| seq2seq: False | ||
| max_new_tokens: 8 | ||
| # model_name_or_path: "EleutherAI/pythia-410m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-160m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-2.8b-deduped" | ||
| model_name_or_path: "EleutherAI/pythia-1b-deduped" | ||
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| training_arguments: | ||
| output_dir: 'experiments/temp' | ||
| bf16: True | ||
| per_device_train_batch_size: 128 | ||
| per_device_eval_batch_size: 256 | ||
| optim: "adafactor" | ||
| overwrite_output_dir: True | ||
| auto_find_batch_size: True | ||
| save_strategy: "no" | ||
| load_best_model_at_end: False | ||
| evaluation_strategy: 'epoch' | ||
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|
||
| do_train: True | ||
| do_eval: True | ||
| do_sweeps: False | ||
| save_each_epochs: 0 | ||
| eval_each_epochs: 1 | ||
| eval_callback_type: "pipeline" # pipeline or generate | ||
|
|
||
| experiment_arguments: # common experiment arguments | ||
| define_experiment: True | ||
| numeric_experiment: False | ||
| name_prefix: "entAttr_bs128" | ||
| n_stages: 1 | ||
| n_seeds: 5 | ||
| n_seeds_stage2: 3 | ||
| start_seed: 600 | ||
| slurm: True | ||
| n_gpu_hours: 24 | ||
|
|
||
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| define_experiment_arguments: | ||
| def_order: "tve" | ||
| entity_association_test_sets: True | ||
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|
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|
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||
| numeric_experiment_arguments: | ||
| modular_experiment_baseline: False | ||
| modular_experiment: False | ||
| num_choice_experiment: False | ||
|
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|
|
||
| # overrides specified parameters | ||
| first_stage_arguments: | ||
| train_subset: 'full' | ||
| num_train_epochs: 40 | ||
| gradient_accumulation_steps: 1 | ||
| dont_save_in_the_end: True |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,76 @@ | ||
| data_arguments: | ||
| dataset: "cvdb" | ||
| block_size: 48 | ||
| label_block_size: 8 | ||
| train_subset: 'full' | ||
| num_ents: 4000 | ||
|
|
||
| frac_n_qd1consis: 0.25 | ||
| frac_n_qd1incons: 0.0 | ||
| frac_n_qd2consis: 0.0 | ||
| frac_n_qd2incons: 0.25 | ||
| frac_n_q_no_replacement_baseline: 0.1 | ||
| frac_n_q: 0.1 | ||
| frac_n_d1consis: 0.1 | ||
| frac_n_d2consis: 0.1 | ||
| frac_n_d3consis: 0.0 | ||
| frac_n_no_qd_baseline: 0.1 | ||
|
|
||
|
|
||
| model_arguments: | ||
| seq2seq: False | ||
| max_new_tokens: 8 | ||
| # model_name_or_path: "EleutherAI/pythia-410m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-160m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-2.8b-deduped" | ||
| model_name_or_path: "EleutherAI/pythia-1b-deduped" | ||
|
|
||
|
|
||
| training_arguments: | ||
| output_dir: 'experiments/temp' | ||
| bf16: True | ||
| per_device_train_batch_size: 16 | ||
| per_device_eval_batch_size: 256 | ||
| optim: "adafactor" | ||
| overwrite_output_dir: True | ||
| auto_find_batch_size: True | ||
| save_strategy: "no" | ||
| load_best_model_at_end: False | ||
| evaluation_strategy: 'epoch' | ||
|
|
||
| do_train: True | ||
| do_eval: True | ||
| do_sweeps: False | ||
| save_each_epochs: 0 | ||
| eval_each_epochs: 1 | ||
| eval_callback_type: "pipeline" # pipeline or generate | ||
|
|
||
| experiment_arguments: # common experiment arguments | ||
| define_experiment: True | ||
| numeric_experiment: False | ||
| name_prefix: "entAttr_bs16" | ||
| n_stages: 1 | ||
| n_seeds: 5 | ||
| n_seeds_stage2: 3 | ||
| start_seed: 600 | ||
| slurm: True | ||
| n_gpu_hours: 24 | ||
|
|
||
|
|
||
| define_experiment_arguments: | ||
| def_order: "tve" | ||
| entity_association_test_sets: True | ||
|
|
||
|
|
||
| numeric_experiment_arguments: | ||
| modular_experiment_baseline: False | ||
| modular_experiment: False | ||
| num_choice_experiment: False | ||
|
|
||
|
|
||
| # overrides specified parameters | ||
| first_stage_arguments: | ||
| train_subset: 'full' | ||
| num_train_epochs: 30 | ||
| gradient_accumulation_steps: 1 | ||
| dont_save_in_the_end: True |
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,76 @@ | ||
| data_arguments: | ||
| dataset: "cvdb" | ||
| block_size: 48 | ||
| label_block_size: 8 | ||
| train_subset: 'full' | ||
| num_ents: 4000 | ||
|
|
||
| frac_n_qd1consis: 0.25 | ||
| frac_n_qd1incons: 0.0 | ||
| frac_n_qd2consis: 0.0 | ||
| frac_n_qd2incons: 0.25 | ||
| frac_n_q_no_replacement_baseline: 0.1 | ||
| frac_n_q: 0.1 | ||
| frac_n_d1consis: 0.1 | ||
| frac_n_d2consis: 0.1 | ||
| frac_n_d3consis: 0.0 | ||
| frac_n_no_qd_baseline: 0.1 | ||
|
|
||
|
|
||
| model_arguments: | ||
| seq2seq: False | ||
| max_new_tokens: 8 | ||
| # model_name_or_path: "EleutherAI/pythia-410m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-160m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-2.8b-deduped" | ||
| model_name_or_path: "EleutherAI/pythia-1b-deduped" | ||
|
|
||
|
|
||
| training_arguments: | ||
| output_dir: 'experiments/temp' | ||
| bf16: True | ||
| per_device_train_batch_size: 32 | ||
| per_device_eval_batch_size: 256 | ||
| optim: "adafactor" | ||
| overwrite_output_dir: True | ||
| auto_find_batch_size: True | ||
| save_strategy: "no" | ||
| load_best_model_at_end: False | ||
| evaluation_strategy: 'epoch' | ||
|
|
||
| do_train: True | ||
| do_eval: True | ||
| do_sweeps: False | ||
| save_each_epochs: 0 | ||
| eval_each_epochs: 1 | ||
| eval_callback_type: "pipeline" # pipeline or generate | ||
|
|
||
| experiment_arguments: # common experiment arguments | ||
| define_experiment: True | ||
| numeric_experiment: False | ||
| name_prefix: "entAttr_bs32" | ||
| n_stages: 1 | ||
| n_seeds: 5 | ||
| n_seeds_stage2: 3 | ||
| start_seed: 600 | ||
| slurm: True | ||
| n_gpu_hours: 24 | ||
|
|
||
|
|
||
| define_experiment_arguments: | ||
| def_order: "tve" | ||
| entity_association_test_sets: True | ||
|
|
||
|
|
||
| numeric_experiment_arguments: | ||
| modular_experiment_baseline: False | ||
| modular_experiment: False | ||
| num_choice_experiment: False | ||
|
|
||
|
|
||
| # overrides specified parameters | ||
| first_stage_arguments: | ||
| train_subset: 'full' | ||
| num_train_epochs: 30 | ||
| gradient_accumulation_steps: 1 | ||
| dont_save_in_the_end: True |
File renamed without changes.
File renamed without changes.
File renamed without changes.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,76 @@ | ||
| data_arguments: | ||
| dataset: "cvdb" | ||
| block_size: 48 | ||
| label_block_size: 8 | ||
| train_subset: 'full' | ||
| num_ents: 4000 | ||
|
|
||
| frac_n_qd1consis: 0.25 | ||
| frac_n_qd1incons: 0.0 | ||
| frac_n_qd2consis: 0.0 | ||
| frac_n_qd2incons: 0.25 | ||
| frac_n_q_no_replacement_baseline: 0.1 | ||
| frac_n_q: 0.1 | ||
| frac_n_d1consis: 0.1 | ||
| frac_n_d2consis: 0.1 | ||
| frac_n_d3consis: 0.0 | ||
| frac_n_no_qd_baseline: 0.1 | ||
|
|
||
|
|
||
| model_arguments: | ||
| seq2seq: False | ||
| max_new_tokens: 8 | ||
| # model_name_or_path: "EleutherAI/pythia-410m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-160m-deduped" | ||
| # model_name_or_path: "EleutherAI/pythia-2.8b-deduped" | ||
| model_name_or_path: "EleutherAI/pythia-1b-deduped" | ||
|
|
||
|
|
||
| training_arguments: | ||
| output_dir: 'experiments/temp' | ||
| bf16: True | ||
| per_device_train_batch_size: 64 | ||
| per_device_eval_batch_size: 256 | ||
| optim: "adafactor" | ||
| overwrite_output_dir: True | ||
| auto_find_batch_size: True | ||
| save_strategy: "no" | ||
| load_best_model_at_end: False | ||
| evaluation_strategy: 'epoch' | ||
|
|
||
| do_train: True | ||
| do_eval: True | ||
| do_sweeps: False | ||
| save_each_epochs: 0 | ||
| eval_each_epochs: 1 | ||
| eval_callback_type: "pipeline" # pipeline or generate | ||
|
|
||
| experiment_arguments: # common experiment arguments | ||
| define_experiment: True | ||
| numeric_experiment: False | ||
| name_prefix: "entAttr_bs64" | ||
| n_stages: 1 | ||
| n_seeds: 5 | ||
| n_seeds_stage2: 3 | ||
| start_seed: 600 | ||
| slurm: True | ||
| n_gpu_hours: 24 | ||
|
|
||
|
|
||
| define_experiment_arguments: | ||
| def_order: "tve" | ||
| entity_association_test_sets: True | ||
|
|
||
|
|
||
| numeric_experiment_arguments: | ||
| modular_experiment_baseline: False | ||
| modular_experiment: False | ||
| num_choice_experiment: False | ||
|
|
||
|
|
||
| # overrides specified parameters | ||
| first_stage_arguments: | ||
| train_subset: 'full' | ||
| num_train_epochs: 30 | ||
| gradient_accumulation_steps: 1 | ||
| dont_save_in_the_end: True |
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