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4d36342
1
Parent(s):
c3269c2
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main.py
CHANGED
@@ -64,9 +64,9 @@ class ORPO(object):
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test = self.data[test_split].filter(self.filter_dataset)
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self.test = test.map(self.preprocess_dataset, batched=True, num_proc=self.args.num_proc, remove_columns=self.data[test_split].column_names)
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train = self.data[train_split].filter(self.filter_dataset)[self.args.max_samples]
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print(f"\n\n>>> {len(train)} / {len(self.data[train_split])} rows left after filtering by prompt length.")
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self.train = train.map(self.preprocess_dataset, batched=True, num_proc=self.args.num_proc, remove_columns=self.data[
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# Set WANDB & Logging Configurations
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self.run_name = f"{self.args.model_name.split('/')[-1]}-{self.args.data_name.split('/')[-1]}-lambda{self.args.alpha}-ORPO-{self.start.tm_mday}-{self.start.tm_hour}-{self.start.tm_min}"
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test = self.data[test_split].filter(self.filter_dataset)
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self.test = test.map(self.preprocess_dataset, batched=True, num_proc=self.args.num_proc, remove_columns=self.data[test_split].column_names)
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+
train = self.data[train_split].filter(self.filter_dataset)[:self.args.max_samples]
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print(f"\n\n>>> {len(train)} / {len(self.data[train_split])} rows left after filtering by prompt length.")
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self.train = train.map(self.preprocess_dataset, batched=True, num_proc=self.args.num_proc, remove_columns=self.data[train_split].column_names)
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# Set WANDB & Logging Configurations
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self.run_name = f"{self.args.model_name.split('/')[-1]}-{self.args.data_name.split('/')[-1]}-lambda{self.args.alpha}-ORPO-{self.start.tm_mday}-{self.start.tm_hour}-{self.start.tm_min}"
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