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1. add custom eval dataset support

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2. merge load dataset and split dataset function


Former-commit-id: 963d97ba07e7efa3a4544c4d077283d9e112b3ad
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codingma
2024-07-05 15:52:10 +08:00
parent 9a1a5f9778
commit 5f2bd04799
15 changed files with 93 additions and 42 deletions
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6
scripts/length_cdf.py
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@@ -47,10 +47,10 @@ def length_cdf(
)
)
tokenizer_module = load_tokenizer(model_args)
trainset = get_dataset(model_args, data_args, training_args, stage="sft", **tokenizer_module)
total_num = len(trainset)
dataset_module = get_dataset(model_args, data_args, training_args, stage="sft", **tokenizer_module)
total_num = len(dataset_module["eval_dataset"])
length_dict = defaultdict(int)
for sample in tqdm(trainset["input_ids"]):
for sample in tqdm(dataset_module["eval_dataset"]["input_ids"]):
length_dict[len(sample) // interval * interval] += 1
length_tuples = list(length_dict.items())