| ### model | |
| model_name_or_path: Qwen/Qwen2.5-1.5B-Instruct | |
| trust_remote_code: true | |
| ### method | |
| stage: sft | |
| do_train: true | |
| finetuning_type: lora | |
| lora_rank: 64 | |
| lora_target: all | |
| ### dataset | |
| dataset: news_finetune_train | |
| eval_dataset: news_finetune_val | |
| template: qwen | |
| cutoff_len: 2048 | |
| # max_samples: 50 | |
| overwrite_cache: true | |
| preprocessing_num_workers: 16 | |
| ### output | |
| # resume_from_checkpoint: /kaggle/working/models/checkpoint-1500 | |
| output_dir: /kaggle/working/ | |
| logging_steps: 10 | |
| save_steps: 500 | |
| plot_loss: true | |
| # overwrite_output_dir: true | |
| ### train | |
| per_device_train_batch_size: 1 | |
| gradient_accumulation_steps: 4 | |
| learning_rate: 1.0e-4 | |
| num_train_epochs: 3.0 | |
| lr_scheduler_type: cosine | |
| warmup_ratio: 0.1 | |
| bf16: true | |
| ddp_timeout: 180000000 | |
| ### eval | |
| # val_size: 0.1 | |
| per_device_eval_batch_size: 1 | |
| eval_strategy: steps | |
| eval_steps: 100 | |
| report_to: wandb | |
| run_name: newsx-finetune-llamafactory | |
| push_to_hub: true | |
| export_hub_model_id: "OsamaMo/Arabic_Text-To-SQL" | |
| hub_private_repo: true | |
| hub_strategy: checkpoint | |