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fix up

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Former-commit-id: 43a56cb331fae899ca35b0c312730d4ab79d0c42
This commit is contained in:
hiyouga
2024-07-15 01:04:56 +08:00
parent 68365045b4
commit e4d11a117b
18 changed files with 46 additions and 41 deletions
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5
scripts/cal_lr.py
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@@ -61,11 +61,12 @@ def calculate_lr(
packing=packing,
output_dir="dummy_dir",
overwrite_cache=True,
do_train=True,
)
)
tokenizer_module = load_tokenizer(model_args)
tokenizer = tokenizer_module["tokenizer"]
dataset_module = get_dataset(model_args, data_args, training_args, stage, **tokenizer_module)
trainset = get_dataset(model_args, data_args, training_args, stage, **tokenizer_module)["train_dataset"]
if stage == "pt":
data_collator = DataCollatorForLanguageModeling(tokenizer=tokenizer, mlm=False)
elif stage == "sft":
@@ -73,7 +74,7 @@ def calculate_lr(
else:
raise NotImplementedError("Stage does not supported: {}.".format(stage))
dataloader = DataLoader(dataset_module["eval_dataset"], batch_size, shuffle=False, collate_fn=data_collator, pin_memory=True)
dataloader = DataLoader(trainset, batch_size, shuffle=False, collate_fn=data_collator, pin_memory=True)
valid_tokens, total_tokens = 0, 0
for batch in tqdm(dataloader):
valid_tokens += torch.sum(batch["labels"] != IGNORE_INDEX).item()