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#! /bin/bash |
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export WANDB_API_KEY='' |
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export LIBTPU_INIT_ARGS='--xla_jf_spmd_threshold_for_windowed_einsum_mib=0 --xla_tpu_spmd_threshold_for_allgather_cse=10000 --xla_tpu_spmd_rewrite_einsum_with_reshape=true --jax_enable_async_collective_offload=true --xla_tpu_enable_latency_hiding_scheduler=true TPU_MEGACORE=MEGACORE_DENSE' |
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python3 -m EasyLM.models.llama.llama_train \ |
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--jax_distributed.initialize_jax_distributed=True \ |
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--mesh_dim='1,-1,4' \ |
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--dtype='bf16' \ |
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--total_steps=1000000 \ |
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--eval_freq=50000 \ |
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--log_freq=1000 \ |
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--save_model_freq=2000 \ |
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--save_milestone_freq=50000 \ |
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--load_llama_config='7b' \ |
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--update_llama_config='' \ |
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--load_dataset_state='' \ |
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--load_checkpoint='' \ |
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--tokenizer.pretrained_model_name_or_path='./' \ |
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--optimizer.type='lion' \ |
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--optimizer.lion_optimizer.weight_decay=1.0 \ |
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--optimizer.lion_optimizer.lr=3e-5 \ |
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--optimizer.lion_optimizer.end_lr=3e-6 \ |
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--optimizer.lion_optimizer.lr_warmup_steps=2000 \ |
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--optimizer.lion_optimizer.lr_decay_steps=1000000 \ |
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--optimizer.lion_optimizer.bf16_momentum=True \ |
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--train_dataset.type='huggingface' \ |
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--train_dataset.text_processor.fields='text' \ |
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--train_dataset.huggingface_dataset.path='/researchdisk/lm_training_dataset_v2_filtered' \ |
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--train_dataset.huggingface_dataset.split='train' \ |
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--train_dataset.huggingface_dataset.seq_length=2048 \ |
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--train_dataset.huggingface_dataset.batch_size=64 \ |
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--eval_dataset.type='huggingface' \ |
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--eval_dataset.text_processor.fields='text' \ |
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--eval_dataset.huggingface_dataset.path='/researchdisk/lm_training_dataset_v2_filtered' \ |
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--eval_dataset.huggingface_dataset.split='validation' \ |
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--eval_dataset.huggingface_dataset.seq_length=2048 \ |
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--eval_dataset.huggingface_dataset.batch_size=64 \ |
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--checkpointer.save_optimizer_state=True \ |
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--logger.online=True \ |
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--logger.prefix='EasyLM' \ |
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--logger.project="open_llama_7b" \ |
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--logger.output_dir="gs://finnish-nlp-research/llama-7b-checkpoint" \ |
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--logger.wandb_dir="./" |
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