Finnish-NLP
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llama-7b-finnish-v2

Text Generation

text-generation-inference

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llama-7b-finnish-v2 / pretrain_llama_7b.sh

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	#! /bin/bash

	# Put your WANDB API key here to enable logging to wandb.
	export WANDB_API_KEY=''

	# TPU specific flags to improve training throughput
	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 --xla_enable_async_all_gather=true --jax_enable_async_collective_offload=true --xla_tpu_enable_latency_hiding_scheduler=true TPU_MEGACORE=MEGACORE_DENSE'


	python3 -m EasyLM.models.llama.llama_train \
	--jax_distributed.initialize_jax_distributed=True \
	--mesh_dim='1,-1,4' \
	--dtype='bf16' \
	--total_steps=900000 \
	--eval_freq=50000 \
	--log_freq=1000 \
	--save_model_freq=2000 \
	--save_milestone_freq=50000 \
	--load_llama_config='7b' \
	--update_llama_config='' \
	--load_dataset_state='' \
	--load_checkpoint='' \
	--tokenizer.vocab_file='tokenizer.model' \
	--optimizer.type='lion' \
	--optimizer.lion_optimizer.weight_decay=1.0 \
	--optimizer.lion_optimizer.lr_schedule_type='warmup_constant' \
	--optimizer.lion_optimizer.lr=1e-4 \
	--optimizer.lion_optimizer.end_lr=1e-5 \
	--optimizer.lion_optimizer.lr_warmup_steps=60000 \
	--optimizer.lion_optimizer.lr_decay_steps=100000 \
	--optimizer.lion_optimizer.bf16_momentum=True \
	--train_dataset.type='huggingface' \
	--train_dataset.text_processor.fields='text' \
	--train_dataset.text_processor.add_eos_token=True \
	--train_dataset.text_processor.add_bos_token=True \
	--train_dataset.huggingface_dataset.path='/researchdisk/lm_training_dataset_first_stage' \
	--train_dataset.huggingface_dataset.split='train' \
	--train_dataset.huggingface_dataset.seq_length=2048 \
	--train_dataset.huggingface_dataset.batch_size=64 \
	--eval_dataset.type='huggingface' \
	--eval_dataset.text_processor.fields='text' \
	--eval_dataset.text_processor.add_eos_token=True \
	--eval_dataset.text_processor.add_bos_token=True \
	--eval_dataset.huggingface_dataset.path='/researchdisk/lm_training_dataset_first_stage' \
	--eval_dataset.huggingface_dataset.split='validation' \
	--eval_dataset.huggingface_dataset.seq_length=2048 \
	--eval_dataset.huggingface_dataset.batch_size=64 \
	--checkpointer.save_optimizer_state=True \
	--logger.online=True \
	--logger.prefix='EasyLM' \
	--logger.project="llama-7b-v2" \
	--logger.output_dir="gs://finnish-nlp-research-us/llama-7b-v2-checkpoint" \
	--logger.wandb_dir="./"