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#!/bin/bash |
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WORLD_SIZE=8 |
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DISTRIBUTED_ARGS="--nproc_per_node $WORLD_SIZE \ |
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--nnodes 1 \ |
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--node_rank 0 \ |
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--master_addr localhost \ |
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--master_port 6000" |
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TRAIN_DATA="data/glue_data/MNLI/train.tsv" |
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VALID_DATA="data/glue_data/MNLI/dev_matched.tsv \ |
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data/glue_data/MNLI/dev_mismatched.tsv" |
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PRETRAINED_CHECKPOINT=checkpoints/bert_345m |
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VOCAB_FILE=bert-vocab.txt |
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CHECKPOINT_PATH=checkpoints/bert_345m_mnli |
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python -m torch.distributed.launch $DISTRIBUTED_ARGS ./tasks/main.py \ |
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--task MNLI \ |
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--seed 1234 \ |
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--train_data $TRAIN_DATA \ |
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--valid_data $VALID_DATA \ |
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--tokenizer_type BertWordPieceLowerCase \ |
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--vocab_file $VOCAB_FILE \ |
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--epochs 5 \ |
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--pretrained_checkpoint $PRETRAINED_CHECKPOINT \ |
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--tensor_model_parallel_size 1 \ |
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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 8 \ |
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--activations_checkpoint_method uniform \ |
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--lr 5.0e-5 \ |
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--lr_decay_style linear \ |
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--lr_warmup_fraction 0.065 \ |
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--seq_length 512 \ |
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--max_position_embeddings 512 \ |
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--save_interval 500000 \ |
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--save $CHECKPOINT_PATH \ |
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--log_interval 10 \ |
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--eval_interval 100 \ |
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--eval_iters 50 \ |
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--weight_decay 1.0e-1 \ |
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--fp16 |
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