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https://gitee.com/ascend/ModelLink.git
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59 lines
1.7 KiB
Bash
59 lines
1.7 KiB
Bash
#!/bin/bash
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export CUDA_DEVICE_MAX_CONNECTIONS=1
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export HCCL_CONNECT_TIMEOUT=1200
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export COMBINED_ENABLE=1
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# distributed config
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MASTER_ADDR=localhost
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MASTER_PORT=6000
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NNODES=1
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NODE_RANK=0
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NPUS_PER_NODE=8
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# modify script model path and tokenizer path
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TOKENIZER_PATH="your tokenizer directory path"
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CHECKPOINT="your model directory path"
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# configure task and data path
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DATA_PATH="/../mmlu/test/"
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TASK="mmlu"
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DISTRIBUTED_ARGS="--nproc_per_node $NPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT"
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# configure generation parameters
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python -m torch.distributed.launch $DISTRIBUTED_ARGS evaluation.py \
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--task-data-path $DATA_PATH \
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--task ${TASK}\
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--load ${CHECKPOINT} \
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--tensor-model-parallel-size 8 \
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--pipeline-model-parallel-size 1 \
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--num-layers 28 \
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--hidden-size 3072 \
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--ffn-hidden-size 24576 \
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--num-attention-heads 16 \
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--kv-channels 256 \
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--max-position-embeddings 8192 \
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--seq-length 8192 \
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--max-new-tokens 1 \
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--geglu \
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--position-embedding-type rope \
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--disable-bias-linear \
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--normalization RMSNorm \
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--add-rmsnorm-offset \
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--input-embeds-norm \
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--tokenizer-type PretrainedFromHF \
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--tokenizer-name-or-path ${TOKENIZER_PATH} \
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--tokenizer-not-use-fast \
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--norm-epsilon 1e-06 \
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--evaluation-batch-size 1 \
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--micro-batch-size 1 \
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--use-fused-rmsnorm \
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--no-masked-softmax-fusion \
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--exit-on-missing-checkpoint \
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--no-load-rng \
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--no-load-optim \
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--vocab-size 256000 \
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--make-vocab-size-divisible-by 1 \
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--bf16 \
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--seed 42 | tee logs/evaluation_gemma_7b_${TASK}.log
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