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[update] pretrain load

pull/825/head
jingyaogong 2026-01-17 12:00:17 +08:00
parent b832bd5253
commit 33b0dfbec5
1 changed files with 4 additions and 8 deletions
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12
dataset/lm_dataset.py
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@ -16,14 +16,10 @@ class PretrainDataset(Dataset):
def __getitem__(self, index): def __getitem__(self, index):
sample = self.samples[index] sample = self.samples[index]
encoding = self.tokenizer( tokens = self.tokenizer(str(sample['text']), add_special_tokens=False).input_ids
str(sample['text']), tokens = [self.tokenizer.bos_token_id] + tokens[:self.max_length - 2] + [self.tokenizer.eos_token_id]
max_length=self.max_length, input_ids = tokens + [self.tokenizer.pad_token_id] * (self.max_length - len(tokens))
padding='max_length', input_ids = torch.tensor(input_ids, dtype=torch.long)
truncation=True,
return_tensors='pt'
)
input_ids = encoding.input_ids.squeeze()
labels = input_ids.clone() labels = input_ids.clone()
labels[input_ids == self.tokenizer.pad_token_id] = -100 labels[input_ids == self.tokenizer.pad_token_id] = -100
return input_ids, labels return input_ids, labels