Download examples/train/plugins/loss_scale.sh from BBBBCHAN/StreamDelta: direct link, hf CLI and curl.
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https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/train/plugins/loss_scale.sh
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hf download hf://datasets/BBBBCHAN/StreamDelta/examples/train/plugins/loss_scale.sh
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curl -L -o loss_scale.sh https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/train/plugins/loss_scale.sh
612 Bytes
| # loss_scale all to train all tokens | |
| # use loss_type loss_scale | |
| # This is just an example | |
| CUDA_VISIBLE_DEVICES=0 \ | |
| swift sft \ | |
| --model Qwen/Qwen2.5-7B-Instruct \ | |
| --train_type lora \ | |
| --dataset 'swift/self-cognition#1000' \ | |
| --num_train_epochs 1 \ | |
| --per_device_train_batch_size 1 \ | |
| --learning_rate 1e-4 \ | |
| --lora_rank 8 \ | |
| --lora_alpha 32 \ | |
| --gradient_accumulation_steps 16 \ | |
| --eval_steps 100 \ | |
| --save_steps 100 \ | |
| --save_total_limit 2 \ | |
| --logging_steps 5 \ | |
| --model_author swift \ | |
| --model_name swift-robot \ | |
| --loss_scale all \ | |
| --loss_type loss_scale | |