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[DRAFT] Add support gradient cache for Reranker #148

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[DRAFT] Add support gradient cache for Reranker #148

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859c9e6
gc reranker
sigridjineth Aug 24, 2024
f29930c
reranker arguments
sigridjineth Aug 24, 2024
3d92da6
fix: training arguments
sigridjineth Aug 24, 2024
0127d00
fix: arguments
sigridjineth Aug 24, 2024
52616cd
fix: trainer
sigridjineth Aug 24, 2024
cd09b57
fix: trainer
sigridjineth Aug 24, 2024
6d11105
parser
sigridjineth Aug 24, 2024
e98bbf3
fix: paserr
sigridjineth Aug 24, 2024
851f01b
fix: parser
sigridjineth Aug 24, 2024
bb5d87c
fix: parser
sigridjineth Aug 24, 2024
70d65ab
fix: trainer
sigridjineth Aug 24, 2024
bfb8e5a
fix: trust_remote_code
sigridjineth Aug 24, 2024
ca4b04b
hotfix: gradient_checkpointing_enable
sigridjineth Aug 24, 2024
a79b647
fix: forward method
sigridjineth Aug 24, 2024
78ff580
fix: prediction step
sigridjineth Aug 24, 2024
43a642d
fix: trainer
sigridjineth Aug 24, 2024
0380e4e
fix: ddp
sigridjineth Aug 24, 2024
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fix: trainer
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@sigridjineth
sigridjineth committed Aug 24, 2024
commit 52616cdd3a198cb1f7a175d04e1e54f4e791f9a5
2 changes: 1 addition & 1 deletion src/tevatron/reranker/driver/train.py
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Expand Up @@ -77,7 +77,7 @@ def main():
train_dataset = RerankerTrainDataset(data_args)
train_collator = RerankerTrainCollator(data_args, tokenizer)

trainer_cls = GCTrainer if training_args.grad_cache else RerankerTrainer
trainer_cls = RerankerTrainer
trainer = trainer_cls(
model=model,
args=training_args,
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