Files
train-KSPDG-Alpaca-LLaMA-Ch…/dataset/trainer_config.yaml
ModelHub XC b7e279b200 初始化项目,由ModelHub XC社区提供模型
Model: OhhTuRnz/train-KSPDG-Alpaca-LLaMA-Chat-8B-DoRA-16-8-adamw_8bit_unquantized_10_files
Source: Original Platform
2026-06-10 03:07:23 +08:00

62 lines
1.5 KiB
YAML

top.adapter_path: []
top.booster: flashattn2
top.finetuning_type: lora
top.model_name: LLaMA3-8B-Chat
top.quantization_bit: none
top.rope_scaling: none
top.template: alpaca
top.visual_inputs: false
train.additional_target: ''
train.badam_mode: layer
train.badam_switch_interval: 50
train.badam_switch_mode: ascending
train.badam_update_ratio: 0.05
train.batch_size: 2
train.compute_type: bf16
train.create_new_adapter: false
train.cutoff_len: 1024
train.dataset:
- KSPDG-LLaMA-3-Alpaca-50
train.dataset_dir: data
train.freeze_extra_modules: ''
train.freeze_trainable_layers: 2
train.freeze_trainable_modules: all
train.galore_rank: 16
train.galore_scale: 0.25
train.galore_target: all
train.galore_update_interval: 200
train.gradient_accumulation_steps: 2
train.learning_rate: 1e-4
train.logging_steps: 5
train.lora_alpha: 8
train.lora_dropout: 0.05
train.lora_rank: 16
train.lora_target: ''
train.loraplus_lr_ratio: 0
train.lr_scheduler_type: cosine
train.max_grad_norm: '1'
train.max_samples: '100000'
train.neftune_alpha: 0
train.num_train_epochs: '3.0'
train.optim: adamw_8bit
train.packing: false
train.ppo_score_norm: false
train.ppo_whiten_rewards: false
train.pref_beta: 0.1
train.pref_ftx: 0
train.pref_loss: sigmoid
train.report_to: true
train.resize_vocab: false
train.reward_model: null
train.save_steps: 100
train.shift_attn: false
train.training_stage: Supervised Fine-Tuning
train.upcast_layernorm: false
train.use_badam: false
train.use_dora: true
train.use_galore: false
train.use_llama_pro: false
train.use_rslora: false
train.val_size: 0.01
train.warmup_steps: 0