o }oi@sddlZddlZddlmZddlmZddlmZddl m Z ddl m Z ddl mZddlmZdd lmZdd lmZdd lmZd d ZedkreZiZddedDed<eddedZeejddddeddZe jj jj!dddddddd d d!ddd" Z"e jj jj#e"ejd#Z ej$d$d$ej%d%d&d'Z&ed(d)Z'e'gZ(ej)d*d*ej*d+Z+ed,d-d%d*d d.Z,ee,d/Z-ej.d0kre j./Z.ndZ.ej0ej1ej2d1e&e(d$d2d3ej3d4d5d6 Z4ej5dureej6ej5d7d8Z7ndZ7eej6d%ej8e7d9Z9e e e+ee4e.e9e-d:dSdS);N) WandbLogger)OptimizerConfig) lightning)llm)finetune)SquadDataModule)get_nmt_tokenizer) NeMoLogger)ModelCheckpoint)MegatronOptimizerModulecCstjdd}|jdtdd|jdtdd|jdtd d d |jd tdd d |jdtdd|jdtdd|jdtddd |jdtdd|jdtdd|S)Nz%Train a small T5 model using NeMo 2.0) descriptionz --devicesz%Number of devices to use for training)typehelpz --max-stepszNumber of steps to train forz--peftnonez none | lora)r defaultrz --data-dirzdirectory to finetuning dataz--experiment-dirz-directory to write results and checkpoints toz--experiment-namezname of experimentz--wandb-projectzwandb project namez--checkpoint-pathzPath to checkpoint dirz--index-mapping-dirz$directory to write index mappings to)argparseArgumentParser add_argumentintstr parse_args)parserr`/home/ubuntu/.local/lib/python3.10/site-packages/tests/collections/llm/megatron_t5_finetuning.pyget_args"s r__main__cCsg|]}d|dqS)z r).0irrr 6srdadditional_special_tokensmegatronBertWordPieceCase)special_tokensi) dataset_root seq_lengthseq_length_decmicro_batch_sizeglobal_batch_size tokenizer num_workers ii @gQ?g?gh㈵>) num_layersencoder_num_layers hidden_sizeffn_hidden_sizenum_attention_heads kv_channelsinit_method_stdhidden_dropoutattention_dropoutlayernorm_epsilonmake_vocab_size_divisible_bymax_position_embeddings)r-Flog_all)tensor_model_parallel_sizepipeline_model_parallel_sizepipeline_dtypeckpt_load_optimizerckpt_load_strictnessi)every_n_train_stepsT)resume_if_existsresume_ignore_no_checkpointresume_from_pathadamgh㈵>) optimizerlruse_distributed_optimizerbf16 weight_decay)configloragpu2z bf16-mixed) precision) devices max_steps acceleratorstrategy callbackslog_every_n_stepslimit_val_batchesval_check_intervalpluginsall)nameproject log_model)r^use_datetime_versionlog_dirwandb)modelresumedatatrainerpeftlogoptim):rtorchlightning.pytorch.loggersrmegatron.core.optimizerrnemornlnemo.collectionsrnemo.collections.llm.apirnemo.collections.llm.t5.datar3nemo.collections.nlp.modules.common.tokenizer_utilsrnemo.lightningr nemo.lightning.pytorch.callbacksr %nemo.lightning.pytorch.optim.megatronr r__name__argsr$ranger-data_dirrft5rdT5Config t5_configT5ModelMegatronStrategyfloat32rWcheckpoint_callbackrX AutoResumecheckpoint_pathre opt_configoptrhLoRATrainerrTrUMegatronMixedPrecisionrg wandb_projectexperiment_name wandb_loggerexperiment_dir nemo_loggerrrrrs