感谢开源了数据集，请教一下关于训练的问题

[zhy844694805]

验证集损失越来越大，准确率越来越低，能否请教一下你们的训练方法吗？
以下是我适用llama-factory的训练参数：

model

model_name_or_path: /root/autodl-tmp/Qwen2-7B-Chat

method

stage: sft
do_train: true
finetuning_type: lora
lora_target: all
pissa_init: true
pissa_iter: 16
pissa_convert: true

dataset

dataset: train
template: qwen
cutoff_len: 512
max_samples: 200000
overwrite_cache: true
preprocessing_num_workers: 16

output

output_dir: saves/qwen2-7b/lora/pissa
logging_steps: 10
save_steps: 3000
plot_loss: true
overwrite_output_dir: true

train

per_device_train_batch_size: 6
gradient_accumulation_steps: 8
learning_rate: 1.0e-4
num_train_epochs: 20.0
lr_scheduler_type: cosine
warmup_ratio: 0.05
bf16: true
ddp_timeout: 180000000

eval

val_size: 0.05
per_device_eval_batch_size: 1
eval_strategy: steps
eval_steps: 3000

[scutcyr]

学习率设置太大了，模型提前过拟合了