llamaboard_config.yaml

top.booster: auto
top.checkpoint_path: []
top.finetuning_type: lora
top.model_name: Mistral-7B-Instruct-v0.3
top.quantization_bit: '4'
top.quantization_method: bitsandbytes
top.rope_scaling: none
top.template: mistral
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: 2048
train.dataset:
- treino_pt_rde
train.dataset_dir: data
train.ds_offload: false
train.ds_stage: none
train.extra_args: '{"optim": "adamw_torch"}'
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: 4
train.learning_rate: 5e-5
train.logging_steps: 10
train.lora_alpha: 16
train.lora_dropout: 0
train.lora_rank: 8
train.lora_target: ''
train.loraplus_lr_ratio: 0
train.lr_scheduler_type: cosine
train.mask_history: false
train.max_grad_norm: '1.0'
train.max_samples: '300'
train.neat_packing: false
train.neftune_alpha: 0
train.num_train_epochs: '3.0'
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: false
train.resize_vocab: false
train.reward_model: null
train.save_steps: 1000
train.shift_attn: false
train.train_on_prompt: false
train.training_stage: Supervised Fine-Tuning
train.use_badam: false
train.use_dora: false
train.use_galore: false
train.use_llama_pro: false
train.use_pissa: false
train.use_rslora: false
train.val_size: 0
train.warmup_steps: 0