52 строки
1.1 KiB
Bash
52 строки
1.1 KiB
Bash
#!/bin/bash
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export CUDA_DEVICE_MAX_CONNECTIONS=1
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CHECKPOINT_PATH=<Specify path>
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VOCAB_FILE=<Specify path to file>/t5-vocab.txt
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DATA_PATH=<Specify path and file prefix>_text_sentence
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T5_ARGS="
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--num-layers 12 \
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--hidden-size 768 \
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--num-attention-heads 12 \
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--kv-channels 64 \
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--ffn-hidden-size 3072 \
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--encoder-seq-length 512 \
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--decoder-seq-length 128 \
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--max-position-embeddings 512 \
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--micro-batch-size 16 \
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--global-batch-size 16 \
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--lr 0.0001 \
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--train-iters 1000000 \
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--lr-decay-iters 1000000 \
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--lr-decay-style linear \
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--min-lr 0.00001 \
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--weight-decay 1e-2 \
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--lr-warmup-fraction .01 \
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--clip-grad 1.0 \
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--fp16 \
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--vocab-extra-ids 100
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"
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DATA_ARGS="
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--data-path $DATA_PATH \
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--vocab-file $VOCAB_FILE \
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--data-impl mmap \
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--split 949,50,1
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"
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OUTPUT_ARGS="
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--log-interval 100 \
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--save-interval 10000 \
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--eval-interval 1000 \
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--eval-iters 10
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"
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torchrun pretrain_t5.py \
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$T5_ARGS \
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$DATA_ARGS \
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$OUTPUT_ARGS \
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--save $CHECKPOINT_PATH \
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--load $CHECKPOINT_PATH
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