|
global { |
|
ducttape_output=/mnt/data/shared/multilingual_llm/experiments_megatron/continue_pretraining_llama2_13B_all_20B |
|
repo=/mnt/data/jpombal/multilinguality_megatron |
|
|
|
external_model_dir=/mnt/data/shared/multilingual_llm/experiments_megatron/continue_pretraining_llama2_13B_all_20B/mc4_parallel_checkpoints |
|
model_path=/mnt/data/cache/models--meta-llama--Llama-2-13b-hf/snapshots/dc1d3b3bfdb69df26f8fc966c16353274b138c55 |
|
tokenizer_path=/mnt/data/cache/models--meta-llama--Llama-2-13b-hf/snapshots/dc1d3b3bfdb69df26f8fc966c16353274b138c55/tokenizer.model |
|
|
|
dataset=(Dataset: en de fr es it nl pt ru zh ko en_de de_en en_fr fr_en en_es es_en en_it it_en en_nl nl_en en_pt pt_en en_ru ru_en en_zh zh_en en_ko ko_en) |
|
|
|
dataset_path=(Dataset: |
|
en=/mnt/data_2/shared/tower_llm_data/en/data |
|
es=/mnt/data_2/shared/tower_llm_data/es/3/0000.json.gz |
|
de=/mnt/data_2/shared/tower_llm_data/de/2/0000.json.gz |
|
fr=/mnt/data_2/shared/tower_llm_data/fr/1/0000.json.gz |
|
nl=/mnt/data_2/shared/tower_llm_data/nl/0000.json.gz |
|
pt=/mnt/data_2/shared/tower_llm_data/pt/0000.json.gz |
|
it=/mnt/data_2/shared/tower_llm_data/it/0000.json.gz |
|
ru=/mnt/data_2/shared/tower_llm_data/ru/6/0000.json.gz |
|
zh=/mnt/data_2/shared/tower_llm_data/zh/0000.json.gz |
|
ko=/mnt/data_2/shared/tower_llm_data/ko/0000.json.gz |
|
en_de="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-de/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
de_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-de/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_fr="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-fr/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
fr_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-fr/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_es="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-es/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
es_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-es/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_it="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-it/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
it_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-it/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_nl="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-nl/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
nl_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-nl/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_pt="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-pt/bicleaner_0.6_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
pt_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-pt/bicleaner_0.6_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_ru="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ru/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
ru_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ru/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_zh="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-zh/no_bicleaner_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
zh_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-zh/no_bicleaner_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
en_ko="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ko/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
ko_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ko/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
|
) |
|
|
|
is_hf_dataset=(Dataset: |
|
en=True |
|
es=False |
|
de=False |
|
fr=False |
|
nl=False |
|
pt=False |
|
it=False |
|
ru=False |
|
zh=False |
|
ko=False |
|
en_de=False |
|
de_en=False |
|
en_fr=False |
|
fr_en=False |
|
en_es=False |
|
es_en=False |
|
en_it=False |
|
it_en=False |
|
en_nl=False |
|
nl_en=False |
|
en_pt=False |
|
pt_en=False |
|
en_ru=False |
|
ru_en=False |
|
en_zh=False |
|
zh_en=False |
|
en_ko=False |
|
ko_en=False |
|
) |
|
|
|
threshold=(Dataset: |
|
en=516 |
|
es=275 |
|
de=611 |
|
fr=322 |
|
nl=649 |
|
pt=257 |
|
it=332 |
|
ru=334 |
|
zh=2041 |
|
ko=198 |
|
en_de=100000 |
|
de_en=100000 |
|
en_fr=100000 |
|
fr_en=100000 |
|
en_es=100000 |
|
es_en=100000 |
|
en_it=100000 |
|
it_en=100000 |
|
en_nl=100000 |
|
nl_en=100000 |
|
en_pt=100000 |
|
pt_en=100000 |
|
en_ru=100000 |
|
ru_en=100000 |
|
en_zh=100000 |
|
zh_en=100000 |
|
en_ko=100000 |
|
ko_en=100000 |
|
) |
|
|
|
|
|
datamix_weights=( |
|
DataMix: |
|
mc4_parallel_uniform=( |
|
Dataset: |
|
en=670 |
|
es=670 |
|
de=670 |
|
fr=670 |
|
nl=670 |
|
pt=670 |
|
it=670 |
|
ru=670 |
|
zh=670 |
|
ko=670 |
|
en_de=183 |
|
de_en=183 |
|
en_fr=183 |
|
fr_en=183 |
|
en_es=183 |
|
es_en=183 |
|
en_it=183 |
|
it_en=183 |
|
en_nl=183 |
|
nl_en=183 |
|
en_pt=183 |
|
pt_en=183 |
|
en_ru=183 |
|
ru_en=183 |
|
en_zh=183 |
|
zh_en=183 |
|
en_ko=183 |
|
ko_en=183 |
|
) |
|
) |
|
|
|
|
|
n_tokens=(Dataset: |
|
en=1000000000 |
|
es=833333330 |
|
de=833333330 |
|
fr=833333330 |
|
nl=833333330 |
|
pt=833333330 |
|
it=833333330 |
|
ru=500000000 |
|
zh=13888888 |
|
ko=250000000 |
|
en_de=20000000 |
|
de_en=20000000 |
|
en_fr=20000000 |
|
fr_en=20000000 |
|
en_es=20000000 |
|
es_en=20000000 |
|
en_it=20000000 |
|
it_en=20000000 |
|
en_nl=20000000 |
|
nl_en=20000000 |
|
en_pt=20000000 |
|
pt_en=20000000 |
|
en_ru=20000000 |
|
ru_en=20000000 |
|
en_zh=20000000 |
|
zh_en=20000000 |
|
en_ko=20000000 |
|
ko_en=20000000 |
|
) |
|
|
|
is_parallel=(Dataset: |
|
en=False |
|
es=False |
|
de=False |
|
fr=False |
|
nl=False |
|
pt=False |
|
it=False |
|
ru=False |
|
zh=False |
|
ko=False |
|
en_de=True |
|
de_en=True |
|
en_fr=True |
|
fr_en=True |
|
en_es=True |
|
es_en=True |
|
en_it=True |
|
it_en=True |
|
en_nl=True |
|
nl_en=True |
|
en_pt=True |
|
pt_en=True |
|
en_ru=True |
|
ru_en=True |
|
en_zh=True |
|
zh_en=True |
|
en_ko=True |
|
ko_en=True |
|
) |
|
|
|
lp=(Dataset: |
|
en="" |
|
es="" |
|
de="" |
|
fr="" |
|
nl="" |
|
pt="" |
|
it="" |
|
ru="" |
|
zh="" |
|
ko="" |
|
en_de="en-de" |
|
de_en="de-en" |
|
en_fr="en-fr" |
|
fr_en="fr-en" |
|
en_es="en-es" |
|
es_en="es-en" |
|
en_it="en-it" |
|
it_en="it-en" |
|
en_nl="en-nl" |
|
nl_en="nl-en" |
|
en_pt="en-pt" |
|
pt_en="pt-en" |
|
en_ru="en-ru" |
|
ru_en="ru-en" |
|
en_zh="en-zh" |
|
zh_en="zh-en" |
|
en_ko="en-ko" |
|
ko_en="ko-en" |
|
) |
|
|
|
min_perplexity=50 |
|
|
|
size=(Size: 7 13) |
|
|
|
log_interval=1 |
|
save_interval=635 |
|
eval_interval=635 |
|
train_steps=12700 |
|
|
|
lr_scheduler=cosine |
|
warmup_steps=127 |
|
lr=3e-5 |
|
lr_min=3e-6 |
|
weight_decay=0.1 |
|
|
|
n_gpus=8 |
|
gpu_ids=0,1,2,3,4,5,6,7 |
|
tp=(TP: 1 2 3 4 5 6 7 8) |
|
pp=(PP: 1 2 3 4) |
|
micro_batch_size=4 |
|
grad_accum_steps=12 |
|
vocab_size=32000 |
|
|
|
cpu_workers=16 |
|
wandb_run_id="llama2_7B_20b_base_vocab_uniform_cleaned_ppl_thresh_516_275_611_322_649_257_332_334_2041_198_and_parallel_33" |
|
wikipedia=False |
|
freeze_layers="" |
|
posterior_tokens=False |
|
n_posterior_tokens=0 |
|
eval_iters=1 |
|
} |
|
|
