max_seq_length=script_args.seq_length, train_dataset=dataset, dataset_text_field=script_args.dataset_text_field, peft_config=peft_config, ) trainer.train() 2.6 Save the Model trainer.save_model(script_args.output_dir) 三、详解SFTTrainer trl/trainer/sft_trainer 3.1 init初始化 在这一部分中也...
trainer = SFTTrainer( "facebook/opt-350m", train_dataset=dataset, dataset_text_field="text", ) trainer.train() 八、使用Adapter相关 使用adaper进行部分参数训练 from datasets import load_dataset from trl import SFTTrainer from peft import LoraConfig dataset = load_dataset("imdb", split="train...
dataset_name: Optional[str] = field( default="/mnt/workspace/workgroup/hanxiao/llama2/llama-recipes/ft_datasets/alpaca_data.json", metadata={"help": "The instruction dataset to use"}, ) new_model: Optional[str] = field( default="llama-science", metadata={"help": "Fine-tuned model name...
## training trainer = SFTTrainer( "facebook/opt-350m", train_dataset=dataset, dataset_text_field="text", max_seq_length=512, ) trainer.train() Will this work?? wennycooperchanged the titleCan we use SFTrainer for pre-training?May 24, 2024 ...
python TRL SFTTrainer -在Alpaca上进行llama 2微调-文本字段dataset_text_field（Optional[str]）是训练...
确认Dataset_text_field正确使用了SftTrainer。 问题: sftrainer中的dataset_text_field已弃用或不再需要? 因此,我应该如何修改代码以使用sfttrainer正确训练模型? 基于 文献 ,以下代码应起作用(我添加了“ ##”的地方更改的位置): # Training arguments training_arguments = SFTConfig( ## output_dir="mistral...
name_or_path will be used --training_data_path $TRAIN_DATA_PATH \ --output_dir $OUTPUT_PATH \ --num_train_epochs 5 \ --per_device_train_batch_size 4 \ --gradient_accumulation_steps 4 \ --learning_rate 1e-5 \ --response_template "\n### Response:" \ --dataset_text_field "...
{"model_name_or_path":$MODEL_PATH,"training_data_path":$TRAIN_DATA_PATH,"output_dir":$OUTPUT_PATH,"num_train_epochs":40.0,"per_device_train_batch_size":4,"learning_rate":1e-4,"response_template":"\n### Label:","dataset_text_field":"output","peft_method":"lora","r":8,"lora...