Update README.md

README.md

@@ -17,7 +17,7 @@ inference: false
 A bilingual instruction-tuned LoRA model of https://huggingface.co/baichuan-inc/baichuan-7B
 
 - Instruction-following datasets used: alpaca, alpaca-zh, codealpaca
-- Training framework: https://github.com/hiyouga/LLaMA-Efficient-Tuning
+- Training framework: https://github.com/hiyouga/LLaMA-Factory
 
 Please follow the [baichuan-7B License](https://huggingface.co/baichuan-inc/baichuan-7B/resolve/main/baichuan-7B%20%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf) to use this model.
 
@@ -42,7 +42,7 @@ inputs = inputs.to("cuda")
 generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)
 ```
 
-You could also alternatively launch a CLI demo by using the script in https://github.com/hiyouga/LLaMA-Efficient-Tuning
+You could also alternatively launch a CLI demo by using the script in https://github.com/hiyouga/LLaMA-Factory
 
 ```bash
 python src/cli_demo.py --template default --model_name_or_path hiyouga/baichuan-7b-sft
@@ -50,7 +50,7 @@ python src/cli_demo.py --template default --model_name_or_path hiyouga/baichuan-
 
 ---
 
-You could reproduce our results with the following scripts using [LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Efficient-Tuning):
+You could reproduce our results with the following scripts using [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory):
 
 ```bash
 CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
@@ -61,7 +61,7 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
     --template default \
     --finetuning_type lora \
     --lora_rank 16 \
-    --lora_target W_pack,o_proj,gate_proj,down_proj,up_proj \
+    --lora_target all \
     --output_dir baichuan_lora \
     --overwrite_cache \
     --per_device_train_batch_size 8 \