| cutoff_len: 2048 | |
| dataset: farcaster_pretrain | |
| dataset_dir: data | |
| ddp_timeout: 180000000 | |
| do_train: true | |
| finetuning_type: lora | |
| flash_attn: auto | |
| fp16: true | |
| gradient_accumulation_steps: 8 | |
| include_num_input_tokens_seen: true | |
| learning_rate: 0.0002 | |
| logging_steps: 1 | |
| lora_alpha: 16 | |
| lora_dropout: 0 | |
| lora_rank: 256 | |
| lora_target: all | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 1.0 | |
| max_samples: 100000 | |
| model_name_or_path: Qwen/Qwen2-7B-Instruct | |
| num_train_epochs: 8.0 | |
| optim: adamw_8bit | |
| output_dir: saves/Qwen2-7B-Chat/lora/final-pretrain-v2 | |
| packing: true | |
| per_device_train_batch_size: 1 | |
| plot_loss: true | |
| preprocessing_num_workers: 16 | |
| report_to: none | |
| save_steps: 100 | |
| stage: pt | |
| template: qwen | |
| warmup_steps: 0 | |