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global { |
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ducttape_output=/mnt/data/shared/multilingual_llm/experiments_megatron/continue_pretraining_llama2_all_10B_test |
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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_llama2_all_10B_test/checkpoints |
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model_path=/mnt/data_2/cache/models--meta-llama--Llama-2-7b-hf |
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tokenizer_path=/mnt/data_2/cache/models--meta-llama--Llama-2-7b-hf/snapshots/6fdf2e60f86ff2481f2241aaee459f85b5b0bbb9/tokenizer.model |
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train_language=(TrainLanguage: en de fr es it nl pt ru zh ko) |
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|
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threshold=(TrainLanguage: |
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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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) |
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|
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n_tokens=(TrainLanguage: |
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en=250000000 |
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es=83333333 |
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de=83333333 |
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fr=83333333 |
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nl=83333333 |
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pt=83333333 |
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it=83333333 |
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ru=83333333 |
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zh=8333333 |
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ko=83333333 |
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) |
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|
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dataset_path=(TrainLanguage: |
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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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) |
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mix="10 10 10 10 10 10 10 10 10 10" |
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min_perplexity=50 |
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size=(Size: 7 13) |
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log_interval=10 |
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save_interval=318 |
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eval_interval=158 |
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train_steps=1272 |
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|
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lr_scheduler=cosine |
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warmup_steps=13 |
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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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|
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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=6 |
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cpu_workers=16 |
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} |
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