
    h              
          S r SSKrSSKrSSKJr  SSKJr  SSKJrJ	r	J
r
  SSKJrJrJrJrJrJrJrJr  \R(                  " \5      r\R.                  R1                  SS5        \S	:X  Ga\  \
" \\\45      r\R5                  5       u  rrr\" S
S9\l        \R@                  S;   a  \R@                  O\!" \\R@                  5      r \" \RD                  \RF                  (       a  S
OS\ S9r$\" \5      r%\%b  \" 5       \$S'   \%\$S'   \	RL                  " \RN                  \RP                  SS9r)\RL                  " \RN                  4S\RP                  S.\$D6r*\)RV                  \*RX                  l+        \)RZ                  c  \" \*\)5      u  r*r)\R\                  (       a!  \R^                  S:w  a  \Ra                  S5        \" \Rb                  \Rd                  S9r3\" \*\)\\3\Rh                     \Rj                  S:w  a  \3\Rl                     OS\" \5      S9r7\7Rq                  5         \7Rs                  \Rt                  5        \Rj                  S:w  a4  \7Rw                  5       r<\7R{                  S\<5        \7R}                  S\<5        \7Rs                  \Rt                  5        \R~                  (       a  \7R                  \Rb                  S9  ggg)aN  
Full training:
python examples/scripts/reward_modeling.py     --model_name_or_path Qwen/Qwen2-0.5B-Instruct     --dataset_name trl-lib/ultrafeedback_binarized     --output_dir Qwen2-0.5B-Reward     --per_device_train_batch_size 8     --num_train_epochs 1     --gradient_checkpointing True     --learning_rate 1.0e-5     --eval_strategy steps     --eval_steps 50     --max_length 2048

LoRA:
python examples/scripts/reward_modeling.py     --model_name_or_path Qwen/Qwen2-0.5B-Instruct     --dataset_name trl-lib/ultrafeedback_binarized     --output_dir Qwen2-0.5B-Reward-LoRA     --per_device_train_batch_size 8     --num_train_epochs 1     --gradient_checkpointing True     --learning_rate 1.0e-4     --eval_strategy steps     --eval_steps 50     --max_length 2048     --use_peft     --lora_task_type SEQ_CLS     --lora_r 32     --lora_alpha 16
    N)logging)load_dataset)"AutoModelForSequenceClassificationAutoTokenizerHfArgumentParser)ModelConfigRewardConfigRewardTrainerScriptArgumentsget_kbit_device_mapget_peft_configget_quantization_configsetup_chat_formatTRACKIO_SPACE_IDztrl-trackio__main__F)use_reentrant)autoNT)revision	use_cachedtype
device_mapquantization_config)trust_remote_codeuse_fast   )
num_labelsr   SEQ_CLSzYou are using a `task_type` that is different than `SEQ_CLS` for PEFT. This will lead to silent bugs Make sure to pass --lora_task_type SEQ_CLS when using this script with PEFT.)nameno)modelprocessing_classargstrain_dataseteval_datasetpeft_configeval)dataset_name)@__doc__ostorch
accelerater   datasetsr   transformersr   r   r   trlr   r	   r
   r   r   r   r   r   
get_logger__name__loggerenviron
setdefaultparserparse_args_into_dataclassesscript_argstraining_args
model_argsdictgradient_checkpointing_kwargsr   getattrmodel_revisiongradient_checkpointingmodel_kwargsr   from_pretrainedmodel_name_or_pathr   	tokenizerr    pad_token_idconfigchat_templateuse_peftlora_task_typewarningr'   dataset_configdatasetdataset_train_spliteval_strategydataset_test_splittrainertrain
save_model
output_direvaluatemetricslog_metricssave_metricspush_to_hub     Z/home/james-whalen/.local/lib/python3.13/site-packages/examples/scripts/reward_modeling.py<module>rY      s  .@ 
   ! \ \	 	 	 
		H	% 

  (- 8 zkJKF-3-O-O-Q*K
26U2KM/
 !+ 0 0N BJPUWaWgWgHhE**(??%TL
 2*=&%8%:\".A*+--%%9U9U`dI />>%%23zGcGcgsE !* 6 6ELL &,UI>yz88IE\	
 ;33+:T:TUG
 "k==>@M@[@[_c@cW[;;<im#J/G MMO
 }//0""d*""$FG,VW- }//0  )A)AB !K rW   