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FIX: Make CorDA example work #2300

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merged 2 commits into from
Jan 7, 2025
Merged

FIX: Make CorDA example work #2300

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e31e861
FIX: define traindataset for codefeedback and WizLMinstruct dataset
Dec 19, 2024
d2009e3
:recycle: code style
Jan 7, 2025
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4 changes: 1 addition & 3 deletions examples/corda_finetuning/datautils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -106,6 +106,7 @@ def get_qat_dataset(name, tokenizer, data_percent):
def get_calib_data(name, tokenizer, model_id, nsamples, seqlen=2048, seed=3):
print(f" get_data_from: {name}, nsamples={nsamples}, seqlen={seqlen}, {seed}")
cache_file = f"cache/{name}_{model_id.replace('/','_')}_{nsamples}_{seqlen}_{seed}.pt"
traindataset = []
if not os.path.exists("cache"):
os.makedirs("cache")
if os.path.exists(cache_file):
Expand Down Expand Up @@ -139,7 +140,6 @@ def get_calib_data(name, tokenizer, model_id, nsamples, seqlen=2048, seed=3):
tot_text = "\n\n".join(traindata["question"])
elif name == "alpaca":
selected_data_dict = load_dataset("iboing/alpaca_data", split="train").shuffle(seed=seed).take(nsamples)
traindataset = []
for example in selected_data_dict:
if example.get("input", "") == "":
s = llama_chat_format.format(instruction=example["instruction"], response=example["output"])
Expand All @@ -152,7 +152,6 @@ def get_calib_data(name, tokenizer, model_id, nsamples, seqlen=2048, seed=3):
return traindataset
elif name == "MetaMATH":
selected_data_dict = load_dataset("iboing/MetaMathQA-395K", split="train").shuffle(seed=seed).take(nsamples)
traindataset = []
for example in selected_data_dict:
if example.get("input", "") == "":
s = llama_chat_format.format(instruction=example["query"], response=example["response"])
Expand Down Expand Up @@ -196,7 +195,6 @@ def get_calib_data(name, tokenizer, model_id, nsamples, seqlen=2048, seed=3):
else:
raise NotImplementedError
print(f"tot_text={len(tot_text)}")
traindataset = []
for _ in range(nsamples):
i = random.randint(0, len(tot_text) - seqlen - 1)
j = i + seqlen * 10
Expand Down
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