update examples

Former-commit-id: bcb010be7732ae137f156932100ee4d02a93725c

examples/train_lora/llama3_lora_sft_ds0.yaml

@@ -1,40 +0,0 @@
-### model
-model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
-
-### method
-stage: sft
-do_train: true
-finetuning_type: lora
-lora_target: all
-deepspeed: examples/deepspeed/ds_z0_config.json
-
-### dataset
-dataset: identity,alpaca_en_demo
-template: llama3
-cutoff_len: 2048
-max_samples: 1000
-overwrite_cache: true
-preprocessing_num_workers: 16
-
-### output
-output_dir: saves/llama3-8b/lora/sft
-logging_steps: 10
-save_steps: 500
-plot_loss: true
-overwrite_output_dir: true
-
-### train
-per_device_train_batch_size: 1
-gradient_accumulation_steps: 2
-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: 500

examples/train_lora/llama3_lora_sft_ds3.yaml

@@ -6,7 +6,7 @@ stage: sft
 do_train: true
 finetuning_type: lora
 lora_target: all
-deepspeed: examples/deepspeed/ds_z3_config.json
+deepspeed: examples/deepspeed/ds_z3_config.json  # choices: [ds_z0_config.json, ds_z2_config.json, ds_z3_config.json]
 
 ### dataset
 dataset: identity,alpaca_en_demo

examples/train_lora/qwen2vl_lora_sft.yaml

@@ -8,7 +8,7 @@ finetuning_type: lora
 lora_target: all
 
 ### dataset
-dataset: mllm_demo,identity  # video: mllm_video_demo
+dataset: mllm_demo,identity,alpaca_en_demo  # video: mllm_video_demo
 template: qwen2_vl
 cutoff_len: 2048
 max_samples: 1000