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Author:
losslint contributors
Summary:
Lint your training logs after the run: NaN, divergence, loss spikes, overfitting onset and step bugs in trainer_state.json / CSV / JSONL / TensorBoard event files, with CI-friendly exit codes.
Latest version:
0.4.1
Optional dependencies:
numpy
|
pytest
|
ruff
|
tensorboard
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