Delete qwen2_7b_lora_sft.yaml

llama-factory/config/qwen2_7b_lora_sft.yaml

@@ -1,46 +0,0 @@
-### model
-model_name_or_path: Qwen/Qwen2-7B-Instruct
-
-### method
-stage: sft
-do_train: true
-finetuning_type: lora
-lora_target: all
-quantization_bit: 4                     # use 4-bit QLoRA
-loraplus_lr_ratio: 16.0                 # use LoRA+ with lambda=16.0
-# use_unsloth: true                       # use UnslothAI's LoRA optimization for 2x faster training
-
-### dataset
-dataset: alpaca_mac
-template: chatml
-cutoff_len: 1024
-max_samples: 50
-overwrite_cache: true
-preprocessing_num_workers: 16
-
-### output
-output_dir: /content/qwen2-7b/
-logging_steps: 10
-save_steps: 10
-plot_loss: true
-overwrite_output_dir: true
-# resume_from_checkpoint: true
-
-### train
-per_device_train_batch_size: 1
-gradient_accumulation_steps: 8
-learning_rate: 1.0e-4
-num_train_epochs: 6.0
-lr_scheduler_type: cosine
-warmup_ratio: 0.1
-bf16: true
-ddp_timeout: 180000000
-
-### eval
-val_size: 0.02
-per_device_eval_batch_size: 1
-eval_strategy: steps
-eval_steps: 10
-
-report_to: wandb
-run_name: qwen2_7b_mac_colab # optional