add example

examples/extras/badam/llama3_badam_sft.yaml

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+### model
+model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
+
+### method
+stage: sft
+do_train: true
+finetuning_type: full
+use_badam: true
+badam_switch_mode: ascending
+badam_switch_interval: 50
+badam_verbose: 2
+
+### dataset
+dataset: identity,alpaca_en_demo
+template: llama3
+cutoff_len: 1024
+max_samples: 1000
+overwrite_cache: true
+preprocessing_num_workers: 16
+
+### output
+output_dir: saves/llama3-8b/full/sft
+logging_steps: 10
+save_steps: 500
+plot_loss: true
+overwrite_output_dir: true
+
+### train
+per_device_train_batch_size: 1
+gradient_accumulation_steps: 8
+learning_rate: 1.0e-6
+num_train_epochs: 3.0
+lr_scheduler_type: cosine
+warmup_ratio: 0.1
+
+### eval
+val_size: 0.1
+per_device_eval_batch_size: 1
+eval_strategy: steps
+eval_steps: 500

examples/extras/badam/train_single_gpu.sh

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+#!/bin/bash
+export CUDA_VISIBLE_DEVICES=0
+
+cd ../../..
+
+llamafactory-cli train \
+    --stage sft \
+    --do_train True \
+    --model_name_or_path meta-llama/Llama-2-13b-hf \
+    --preprocessing_num_workers 16 \
+    --finetuning_type full \
+    --template default \
+    --flash_attn auto \
+    --dataset_dir data \
+    --dataset alpaca_en_demo \
+    --cutoff_len 1024 \
+    --learning_rate 1e-6 \
+    --num_train_epochs 3.0 \
+    --max_samples 100000 \
+    --per_device_train_batch_size 1 \
+    --gradient_accumulation_steps 8 \
+    --lr_scheduler_type cosine \
+    --max_grad_norm 1.0 \
+    --logging_steps 5 \
+    --save_steps 100 \
+    --warmup_steps 0 \
+    --optim adamw_torch \
+    --packing False \
+    --report_to none \
+    --use_badam True \
+    --output_dir saves/LLaMA2-13B/full/BAdam \
+    --plot_loss True \
+    --ddp_timeout 180000000 \
+    --include_num_input_tokens_seen True \
+    --badam_mode layer \
+    --badam_switch_mode ascending \
+    --badam_switch_interval 50

examples/extras/badam/train_zero3.sh

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+#!/bin/bash
+export CUDA_VISIBLE_DEVICES=0,1,2,3
+
+cd ../../..
+
+llamafactory-cli train \
+    --stage sft \
+    --do_train True \
+    --model_name_or_path meta-llama/Llama-2-13b-hf \
+    --preprocessing_num_workers 16 \
+    --finetuning_type full \
+    --template default \
+    --flash_attn auto \
+    --dataset_dir data \
+    --dataset alpaca_en_demo \
+    --cutoff_len 1024 \
+    --learning_rate 1e-6 \
+    --num_train_epochs 3.0 \
+    --max_samples 100000 \
+    --per_device_train_batch_size 8 \
+    --gradient_accumulation_steps 2 \
+    --lr_scheduler_type cosine \
+    --max_grad_norm 1.0 \
+    --logging_steps 5 \
+    --save_steps 100 \
+    --warmup_steps 0 \
+    --optim adamw_torch \
+    --packing False \
+    --report_to none \
+    --use_badam True \
+    --output_dir saves/LLaMA2-13B/full/BAdam \
+    --fp16 True \
+    --plot_loss True \
+    --ddp_timeout 180000000 \
+    --include_num_input_tokens_seen True \
+    --badam_mode layer \
+    --badam_switch_mode ascending \
+    --badam_switch_interval 50 \
+    --deepspeed cache/ds_z3_config.json