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Update finetune.py #152

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6 changes: 3 additions & 3 deletions finetune/finetune.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -196,7 +196,7 @@ def create_datasets(tokenizer, args):
args.dataset_name,
data_dir=args.subset,
split=args.split,
use_auth_token=True,
token=True,
num_proc=args.num_workers if not args.streaming else None,
streaming=args.streaming,
)
Expand DownExpand Up@@ -239,7 +239,7 @@ def run_training(args, train_data, val_data):
# disable caching mechanism when using gradient checkpointing
model = AutoModelForCausalLM.from_pretrained(
args.model_path,
use_auth_token=True,
token=True,
use_cache=not args.no_gradient_checkpointing,
load_in_8bit=True,
device_map={"": Accelerator().process_index},
Expand DownExpand Up@@ -298,7 +298,7 @@ def run_training(args, train_data, val_data):


def main(args):
tokenizer = AutoTokenizer.from_pretrained(args.model_path, use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained(args.model_path, token=True)
train_dataset, eval_dataset = create_datasets(tokenizer, args)
run_training(args, train_dataset, eval_dataset)

Expand Down