AssertionError: No inf checks were recorded for this optimizer.
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Description
While tuning I am getting the following error.
AssertionError: No inf checks were recorded for this optimizer.
Can anyone help me with this?
Here are my training arguments:
per_device_train_batch_size=2,
warmup_steps=100,
num_train_epochs=3,
fp16=True,
logging_steps=1,
output_dir='llama_output/',
gradient_accumulation_steps = 2,
evaluation_strategy = "no",
save_strategy = "no",
save_steps = 1200,
learning_rate = 2e-5,
weight_decay = 0.,
warmup_ratio = 0.03,
lr_scheduler_type = "cosine",
tf32 = False,
gradient_checkpointing = False
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Research direction
No source file, test, or entry point is identified. Start by reproducing the training run with the listed arguments, especially fp16=True and gradient_accumulation_steps=2, then trace the optimizer setup and inf-check registration; done when the assertion is resolved and training proceeds successfully.
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