TinyLlama-CPT / multilinguality_megatron /ducttape /10B_all_cleaned_extend32.tconf
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global {
ducttape_output=/mnt/data/shared/multilingual_llm/experiments_megatron/continue_pretraining_llama2_all_10B_extend32
repo=/mnt/data/jpombal/multilinguality_megatron
external_model_dir=/mnt/data/shared/multilingual_llm/experiments_megatron/continue_pretraining_llama2_all_10B_extend32/checkpoints
model_path=/mnt/data/bpop/multilinguality_tower/extended-models/llama-2-7b-hf-merged-multi-32k-meaninit
tokenizer_path=/mnt/data/bpop/multilinguality_tower/extended-models/llama-2-7b-hf-merged-multi-32k-meaninit/tokenizer.model
train_language=(TrainLanguage: en de fr es it nl pt ru zh ko)
posterior_tokens=False
n_posterior_tokens=False
threshold=(TrainLanguage:
en=516
es=275
de=611
fr=322
nl=649
pt=257
it=332
ru=334
zh=2041
ko=198
)
n_tokens=(TrainLanguage:
en=900000000
es=900000000
de=900000000
fr=900000000
nl=900000000
pt=900000000
it=900000000
ru=550000000
zh=20000000
ko=450000000
)
dataset_path=(TrainLanguage:
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
)
mix="10 10 10 10 10 10 10 10 10 10"
min_perplexity=50
size=(Size: 7 13)
log_interval=10
save_interval=635
eval_interval=635
train_steps=6358
lr_scheduler=cosine
warmup_steps=63
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)
pp=(PP: 1 2 3 4)
micro_batch_size=4
grad_accum_steps=12
vocab_size=52620
eval_iters=1
cpu_workers=16
wandb_run_id="NEW_llama2_7B_10b_extend32_vocab_uniform_cleaned_ppl_thresh_516_275_611_322_649_257_332_334_2041_198"
wikipedia=False
freeze_layers=""
}