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#!/bin/bash |
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RANK=0 |
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WORLD_SIZE=1 |
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DATA_PATH=<Specify path and file prefix>_text_sentence |
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CHECKPOINT_PATH=<Specify path> |
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python pretrain_bert.py \ |
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--num_layers 24 \ |
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--hidden_size 1024 \ |
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--num_attention_heads 16 \ |
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--micro_batch_size 4 \ |
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--global_batch_size 8 \ |
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--seq_length 512 \ |
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--max_position_embeddings 512 \ |
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--train_iters 2000000 \ |
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--lr_decay_iters 990000 \ |
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--save $CHECKPOINT_PATH \ |
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--load $CHECKPOINT_PATH \ |
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--data_path $DATA_PATH \ |
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--vocab_file bert-vocab.txt \ |
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--data_impl mmap \ |
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--split 949,50,1 \ |
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--lr 0.0001 \ |
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--min_lr 0.00001 \ |
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--lr_decay_style linear \ |
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--lr_warmup_fraction .01 \ |
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--weight_decay 1e-2 \ |
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--clip_grad 1.0 \ |
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--log_interval 100 \ |
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--save_interval 10000 \ |
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--eval_interval 1000 \ |
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--eval_iters 10 \ |
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--fp16 |
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