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global { |
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model_type="mistral" |
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ducttape_output=/mnt/data/shared/multilingual_llm/experiments_megatron/continue_pretraining_mistral_all_20B |
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repo=/mnt/data/jpombal/multilinguality_megatron |
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external_model_dir=/mnt/data/shared/multilingual_llm/experiments_megatron/continue_pretraining_mistral_all_20B/mc4_parallel_checkpoints |
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model_path=/mnt/data/cache/models--mistralai--Mistral-7B-v0.1/snapshots/26bca36bde8333b5d7f72e9ed20ccda6a618af24 |
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tokenizer_path=/mnt/data/cache/models--mistralai--Mistral-7B-v0.1/snapshots/26bca36bde8333b5d7f72e9ed20ccda6a618af24/tokenizer.model |
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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) |
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dataset_path=(Dataset: |
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en=/mnt/data_2/shared/tower_llm_data/en/data |
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es=/mnt/data_2/shared/tower_llm_data/es/3/0000.json.gz |
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de=/mnt/data_2/shared/tower_llm_data/de/2/0000.json.gz |
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fr=/mnt/data_2/shared/tower_llm_data/fr/1/0000.json.gz |
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nl=/mnt/data_2/shared/tower_llm_data/nl/0000.json.gz |
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pt=/mnt/data_2/shared/tower_llm_data/pt/0000.json.gz |
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it=/mnt/data_2/shared/tower_llm_data/it/0000.json.gz |
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ru=/mnt/data_2/shared/tower_llm_data/ru/6/0000.json.gz |
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zh=/mnt/data_2/shared/tower_llm_data/zh/0000.json.gz |
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ko=/mnt/data_2/shared/tower_llm_data/ko/0000.json.gz |
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en_de="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-de/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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de_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-de/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_fr="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-fr/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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fr_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-fr/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_es="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-es/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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es_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-es/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_it="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-it/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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it_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-it/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_nl="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-nl/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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nl_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-nl/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_pt="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-pt/bicleaner_0.6_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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pt_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-pt/bicleaner_0.6_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_ru="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ru/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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ru_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ru/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_zh="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-zh/no_bicleaner_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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zh_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-zh/no_bicleaner_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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en_ko="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ko/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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ko_en="/mnt/data/shared/tower_llm_data/bilingual_data/v1/en-ko/bicleaner_0.5_cometkiwi-wmt22-cometkiwi-da/threshold_0.75" |
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) |
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is_hf_dataset=(Dataset: |
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en=True |
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es=False |
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de=False |
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fr=False |
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nl=False |
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pt=False |
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it=False |
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ru=False |
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zh=False |
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ko=False |
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en_de=False |
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de_en=False |
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en_fr=False |
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fr_en=False |
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en_es=False |
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es_en=False |
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en_it=False |
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it_en=False |
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en_nl=False |
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nl_en=False |
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en_pt=False |
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pt_en=False |
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en_ru=False |
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ru_en=False |
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en_zh=False |
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zh_en=False |
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en_ko=False |
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ko_en=False |
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) |
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threshold=(Dataset: |
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en=516 |
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es=275 |
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de=611 |
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fr=322 |
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nl=649 |
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pt=257 |
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it=332 |
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ru=334 |
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zh=2041 |
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ko=198 |
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en_de=100000 |
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de_en=100000 |
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en_fr=100000 |
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fr_en=100000 |
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en_es=100000 |
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es_en=100000 |
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en_it=100000 |
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it_en=100000 |
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en_nl=100000 |
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nl_en=100000 |
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en_pt=100000 |
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pt_en=100000 |
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en_ru=100000 |
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ru_en=100000 |
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en_zh=100000 |
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zh_en=100000 |
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en_ko=100000 |
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ko_en=100000 |
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) |
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datamix_weights=( |
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DataMix: |
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mc4_parallel_uniform=( |
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Dataset: |
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en=670 |
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es=670 |
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de=670 |
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fr=670 |
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nl=670 |
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pt=670 |
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it=670 |
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ru=670 |
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zh=670 |
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ko=670 |
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en_de=183 |
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de_en=183 |
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en_fr=183 |
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fr_en=183 |
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en_es=183 |
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es_en=183 |
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en_it=183 |
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it_en=183 |
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en_nl=183 |
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nl_en=183 |
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en_pt=183 |
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pt_en=183 |
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en_ru=183 |
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ru_en=183 |
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en_zh=183 |
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zh_en=183 |
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en_ko=183 |
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ko_en=183 |
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) |
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) |
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n_tokens=(Dataset: |
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en=1000000000 |
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es=833333330 |
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de=833333330 |
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fr=833333330 |
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nl=833333330 |
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pt=833333330 |
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it=833333330 |
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ru=500000000 |
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zh=13888888 |
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ko=250000000 |
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en_de=20000000 |
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de_en=20000000 |
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en_fr=20000000 |
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fr_en=20000000 |
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en_es=20000000 |
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es_en=20000000 |
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en_it=20000000 |
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it_en=20000000 |
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en_nl=20000000 |
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nl_en=20000000 |
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en_pt=20000000 |
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pt_en=20000000 |
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en_ru=20000000 |
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ru_en=20000000 |
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en_zh=20000000 |
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zh_en=20000000 |
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en_ko=20000000 |
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ko_en=20000000 |
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) |
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is_parallel=(Dataset: |
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en=False |
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es=False |
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de=False |
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fr=False |
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nl=False |
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pt=False |
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it=False |
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ru=False |
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zh=False |
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ko=False |
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en_de=True |
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de_en=True |
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en_fr=True |
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fr_en=True |
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en_es=True |
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es_en=True |
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en_it=True |
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it_en=True |
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en_nl=True |
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nl_en=True |
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en_pt=True |
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pt_en=True |
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en_ru=True |
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ru_en=True |
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en_zh=True |
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zh_en=True |
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en_ko=True |
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ko_en=True |
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) |
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lp=(Dataset: |
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en="" |
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es="" |
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de="" |
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fr="" |
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nl="" |
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pt="" |
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it="" |
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ru="" |
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zh="" |
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ko="" |
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en_de="en-de" |
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de_en="de-en" |
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en_fr="en-fr" |
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fr_en="fr-en" |
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en_es="en-es" |
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es_en="es-en" |
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en_it="en-it" |
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it_en="it-en" |
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en_nl="en-nl" |
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nl_en="nl-en" |
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en_pt="en-pt" |
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pt_en="pt-en" |
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en_ru="en-ru" |
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ru_en="ru-en" |
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en_zh="en-zh" |
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zh_en="zh-en" |
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en_ko="en-ko" |
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ko_en="ko-en" |
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) |
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min_perplexity=50 |
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size=(Size: 7 13) |
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log_interval=1 |
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save_interval=635 |
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eval_interval=635 |
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train_steps=12700 |
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lr_scheduler=cosine |
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warmup_steps=127 |
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lr=3e-5 |
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lr_min=3e-6 |
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weight_decay=0.1 |
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n_gpus=8 |
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gpu_ids=0,1,2,3,4,5,6,7 |
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tp=(TP: 1 2 3 4) |
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pp=(PP: 1 2 3 4) |
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micro_batch_size=4 |
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grad_accum_steps=12 |
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vocab_size=32000 |
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cpu_workers=16 |
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wikipedia=False |
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freeze_layers="" |
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posterior_tokens=False |
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n_posterior_tokens=0 |
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eval_iters=1 |
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} |
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