| bf16: true | |
| cutoff_len: 2048 | |
| dataset: treino_pt_rde3 | |
| dataset_dir: data | |
| ddp_timeout: 180000000 | |
| do_train: true | |
| double_quantization: true | |
| enable_thinking: true | |
| finetuning_type: lora | |
| flash_attn: auto | |
| freeze_multi_modal_projector: true | |
| freeze_vision_tower: true | |
| gradient_accumulation_steps: 8 | |
| image_max_pixels: 589824 | |
| image_min_pixels: 1024 | |
| include_num_input_tokens_seen: true | |
| label_smoothing_factor: 0.1 | |
| learning_rate: 0.00015 | |
| logging_steps: 10 | |
| lora_alpha: 16 | |
| lora_dropout: 0 | |
| lora_rank: 8 | |
| lora_target: all | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 0.5 | |
| max_samples: 3716 | |
| model_name_or_path: google/gemma-3-12b-it | |
| num_train_epochs: 7.0 | |
| optim: adamw_8bit | |
| output_dir: saves/Gemma-3-12B-Instruct/lora/gemma-treinado | |
| packing: false | |
| per_device_train_batch_size: 4 | |
| plot_loss: true | |
| preprocessing_num_workers: 16 | |
| quantization_bit: 4 | |
| quantization_method: bnb | |
| report_to: none | |
| save_steps: 250 | |
| stage: sft | |
| template: alpaca | |
| trust_remote_code: true | |
| use_unsloth: true | |
| video_max_pixels: 65536 | |
| video_min_pixels: 256 | |
| warmup_steps: 200 | |
| weight_decay: 0.1 | |