[examples] max samples can't be bigger than the len of dataset (#16501)
* [examples] max samples can't be bigger than then len of dataset * do tf and flax
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@@ -369,7 +369,8 @@ def main():
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train_dataset = raw_datasets["train"]
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non_label_columns = [feature for feature in train_dataset.features if feature not in ("label", "labels")]
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if data_args.max_train_samples is not None:
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train_dataset = train_dataset.select(range(data_args.max_train_samples))
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max_train_samples = min(len(train_dataset), data_args.max_train_samples)
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train_dataset = train_dataset.select(range(max_train_samples))
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with training_args.main_process_first(desc="train dataset map pre-processing"):
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train_dataset = train_dataset.map(
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preprocess_function,
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@@ -385,7 +386,8 @@ def main():
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if not training_args.do_train:
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non_label_columns = [feature for feature in eval_dataset.features if feature not in ("label", "labels")]
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if data_args.max_eval_samples is not None:
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eval_dataset = eval_dataset.select(range(data_args.max_eval_samples))
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max_eval_samples = min(len(eval_dataset), data_args.max_eval_samples)
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eval_dataset = eval_dataset.select(range(max_eval_samples))
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with training_args.main_process_first(desc="validation dataset map pre-processing"):
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eval_dataset = eval_dataset.map(
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preprocess_function,
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