@@ -115,8 +115,6 @@ def createFinetuneRequest(
115115 if training_method == "dpo" :
116116 training_method_cls = TrainingMethodDPO (dpo_beta = dpo_beta )
117117
118- print ("\n TRAINING METHOD at CREATE FINE TUNE REQUEST" , training_method )
119-
120118 finetune_request = FinetuneRequest (
121119 model = model ,
122120 training_file = training_file ,
@@ -236,7 +234,6 @@ def create(
236234
237235 if model_limits is None :
238236 model_limits = self .get_model_limits (model = model )
239- print ("\n DPO BETA at CREATE FINE TUNE REQUEST" , dpo_beta )
240237 finetune_request = createFinetuneRequest (
241238 model_limits = model_limits ,
242239 training_file = training_file ,
@@ -271,11 +268,8 @@ def create(
271268 "Submitting a fine-tuning job with the following parameters:" ,
272269 finetune_request ,
273270 )
274- print ("\n FINETUNE REQUEST before dump" , finetune_request )
275271 parameter_payload = finetune_request .model_dump (exclude_none = True )
276272
277- # Print the request payload before sending
278- print (f"Request payload: { parameter_payload } " )
279273 response , _ , _ = requestor .request (
280274 options = TogetherRequest (
281275 method = "POST" ,
@@ -284,9 +278,6 @@ def create(
284278 ),
285279 stream = False ,
286280 )
287- # Print the response before processing
288- print (f"Response: { response } " )
289-
290281 assert isinstance (response , TogetherResponse )
291282
292283 return FinetuneResponse (** response .data )
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