oiSrSSKJr SSKJr SSKJr SSKJr SSK J r SSK J r SS K Jr SS KJr S S jrg) zD This module contains the implementation of the LoraPlus optimizer. ) annotations) attrgetterN) Optimizer)ALL_LAYERNORM_LAYERS)get_parameter_names) PeftModel) Embeddingc [U[5nUVs/sH nSU;dM UPM nn0000S.nUR5H{uphUR(dM[ U5"U5n [ U [ 5(a XSU'MGSU;dURS:XaXe;a XSU'MkXSU'MtXSU'M} X$S 'URS S 5n URS S 5n [USR55U US.[USR55U U S.[USR55U X#-S.[USR55S X#-S./n U"U 40UD6n /SQnURU;auSSK nURRR5nUR!5H9n [ U ["R 5(dM$UR%U SSS05 M; U $s snf)u Creates a LoraPlus optimizer. Efficient Low Rank Adaptation of Large Models: https://huggingface.co/papers/2402.12354 Reference: https://github.com/nikhil-ghosh-berkeley/loraplus/ Args: model (`torch.nn.Module`): The model to be optimized. optimizer_cls (`torch.optim.Optimizer`): The optimizer class to be used. lr (`float`): The learning rate to be used for the optimizer. loraplus_lr_ratio (`float`): The ratio of learning ηB/ηA where ηA (lr) is passed in as the optimizer learning rate. Should be ≥1. Should be set in tandem with the optimizer learning rate (lr); should be larger when the task is more difficult and the model needs to update its features to learn well. In this case, it helps to make the learning rate slightly smaller (e.g., by a factor of 2) than typical vanilla LoRA learning rates loraplus_lr_embedding (optional `float`): If LoRA modules are added to embedding layers your can specify a different learning rate for them. Default value 1e-6. kwargs (`dict`): Additional keyword arguments to be passed to the optimizer. Returns: `torch.optim.Optimizer`: An instance of the specified optimizer class configured with the model's parameters organized into groups with custom learning rates. bias)groupAgroupBgroupB_no_decay embeddingrlora_Brrr lrloraplus_weight_decaygloraplus_lr_embeddinggư>)params weight_decayr)Adam8bit AdamW8bit PagedAdam8bitPagedAdamW8bitrNweight optim_bits )rrnamed_parameters requires_gradr isinstancer ndimpoplistvalues__name__ bitsandbytesoptimGlobalOptimManager get_instancemodulesnnregister_module_override)model optimizer_clsrloraplus_lr_ratiokwargsdecay_parametersname param_groupsparammodulerroptimizer_grouped_parameters optimizereight_bit_namesr'managers R/home/james-whalen/.local/lib/python3.13/site-packages/peft/optimizers/loraplus.pycreate_loraplus_optimizerr< s!:+52FG)9P)9V4=O)9P L--/ "" D!%( fi ( (.3 %d +  q'/4X&t,8=./5+0 "4 (04L"JJ'>D"JJ'>E<188:;1 < 4;;=>1' <188:;1( <(9:AACD( !$ .:EfEIRO0$$77DDFmmoF&",,//00LRTCUV& wQs G?G?) r.r r/ztype[Optimizer]rfloatr0r=returnr)__doc__ __future__roperatorrtorch.nnr, torch.optimrtransformers.pytorch_utilsrtransformers.trainer_pt_utilsr peft_modelr tuners.lora.layerr r<r;rJsW#!;=")Y Y%4Y=BYW\YYrI