wehub-resource-sync
36 lines
968 B
Bash
36 lines
968 B
Bash
NPROC_PER_NODE=2 \
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CUDA_VISIBLE_DEVICES=0,1 \
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swift sft \
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--model google/gemma-4-E2B-it \
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--dataset 'AI-ModelScope/LaTeX_OCR:human_handwrite#2000' \
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--load_from_cache_file true \
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--split_dataset_ratio 0.01 \
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--tuner_type lora \
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--torch_dtype bfloat16 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--learning_rate 1e-4 \
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--lora_rank 8 \
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--lora_alpha 32 \
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--target_modules all-linear \
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--freeze_vit true \
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--freeze_aligner true \
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--gradient_accumulation_steps 16 \
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--eval_steps 50 \
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--save_steps 50 \
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--save_total_limit 2 \
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--logging_steps 5 \
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--max_length 4096 \
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--output_dir output \
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--warmup_ratio 0.05 \
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--deepspeed zero2 \
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--dataset_num_proc 4 \
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--dataloader_num_workers 4
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# CUDA_VISIBLE_DEVICES=0 \
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# swift infer \
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# --adapters output/vx-xxx/checkpoint-xxx \
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# --stream true \
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# --load_data_args true
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