| nproc_per_node=2 | |
| # 2*12G | |
| # losses: plugin/loss.py | |
| # data format: docs/source_en/Customization/Custom-dataset.md | |
| # --use_chat_template must be false to use generation template | |
| # --dataloader_drop_last must be true or eval gather will throw error | |
| # --model iic/gte-modernbert-base iic/gte_Qwen2-7B-instruct also supported | |
| # INFONCE_TEMPERATURE default value is 0.01, here we use 0.1 because it makes | |
| # the `sentence-transformers/stsb:positive` dataset result to a zero loss | |
| CUDA_VISIBLE_DEVICES=0,1 \ | |
| INFONCE_TEMPERATURE=0.1 \ | |
| NPROC_PER_NODE=$nproc_per_node \ | |
| swift sft \ | |
| --model Qwen/Qwen3-Embedding-0.6B \ | |
| --task_type embedding \ | |
| --model_type qwen3_emb \ | |
| --train_type full \ | |
| --dataset sentence-transformers/stsb:positive \ | |
| --load_from_cache_file true \ | |
| --split_dataset_ratio 0.05 \ | |
| --eval_strategy steps \ | |
| --output_dir output \ | |
| --save_steps 50 \ | |
| --eval_steps 50 \ | |
| --num_train_epochs 5 \ | |
| --per_device_train_batch_size 4 \ | |
| --per_device_eval_batch_size 4 \ | |
| --gradient_accumulation_steps 4 \ | |
| --learning_rate 6e-6 \ | |
| --loss_type infonce \ | |
| --dataloader_drop_last true \ | |
| --deepspeed zero2 | |