mirror of
https://github.com/vale981/ray
synced 2025-03-09 12:56:46 -04:00
f286356e06
* add pages about examples on training language models with fairseq and ray autoscaler * better format * update ray_train.sh * Move EFS to the autoscaler file * nits * add comments to the code & use a new way to implement checkpoint hook * small bug fix * polish the doc * fix formatting * yaml * update docs * fix the bugs and add preprocess.sh * fix lint * Reduce batch size & fix lint * shorttitle
26 lines
1.3 KiB
Bash
26 lines
1.3 KiB
Bash
#!/bin/bash
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TOTAL_UPDATES=125000 # Total number of training steps
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WARMUP_UPDATES=10000 # Warmup the learning rate over this many updates
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PEAK_LR=0.0005 # Peak learning rate, adjust as needed
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TOKENS_PER_SAMPLE=512 # Max sequence length
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MAX_POSITIONS=512 # Num. positional embeddings (usually same as above)
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MAX_SENTENCES=8 # Number of sequences per batch on one GPU (batch size)
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FIX_BATCH_SIZE=2048 # Number of batch size in total (max_sentences * update_freq * n_gpus)
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SAVE_INTERVAL_UPDATES=1000 # save a checkpoint every N updates
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LOG_DIR=$HOME/efs/lm/log/
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DATA_DIR=$HOME/efs/lm/data-bin/wikitext-103/
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mkdir -p $LOG_DIR
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python $HOME/efs/lm/ray_train.py --fp16 $DATA_DIR \
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--task masked_lm --criterion masked_lm \
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--arch roberta_base --sample-break-mode complete --tokens-per-sample $TOKENS_PER_SAMPLE \
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--optimizer adam --adam-betas '(0.9, 0.98)' --adam-eps 1e-6 --clip-norm 0.0 \
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--lr-scheduler polynomial_decay --lr $PEAK_LR --warmup-updates $WARMUP_UPDATES --total-num-update $TOTAL_UPDATES \
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--dropout 0.1 --attention-dropout 0.1 --weight-decay 0.01 \
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--max-sentences $MAX_SENTENCES \
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--fix-batch-size $FIX_BATCH_SIZE \
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--max-update $TOTAL_UPDATES --log-format simple --log-interval 1 \
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--save-interval-updates $SAVE_INTERVAL_UPDATES \
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--save-dir $LOG_DIR --ddp-backend=no_c10d
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