Lightning-AI / Lightning-AI/lit-llama

Can not finetune, OOM on v100 with batchsize 6

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Dominant language
Python
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Description

I changed batch size to this:

# batch_size = 128
batch_size = 6
micro_batch_size = 2
gradient_accumulation_steps = batch_size // micro_batch_size
max_iters = 50000 * 3 // micro_batch_size

still get OOM, on v100 32GB , why?

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Research direction

Start by reproducing fine-tuning with the shown batch_size, micro_batch_size, and gradient_accumulation_steps on a 32GB V100, while capturing the full OOM traceback and relevant model configuration. Determine which setting or operation exceeds memory, then verify that the issue is resolved with a tested configuration or a documented explanation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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