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@dsbyprateekg I recently faced a similar error related to maestro.trainer.common.datasets.jsonl. The following syntax worked for me: from maestro.trainer.common.datasets import RoboflowJSONLDataset
@dsbyprateekg I recently faced a similar error related to maestro.trainer.common.datasets.jsonl. The following syntax worked for me: from maestro.trainer.common.datasets import RoboflowJSONLDataset
@dsbyprateekg and @patel-zeel thank you for your interest in maestro. 🙏🏻 Please make sure that the documentation version matches the maestro version you have installed. The documentation you are quoting refers to the develop branch - not yet released. If you are using maestro-1.0.0, please select 1.0.0 from the dropdown at the top of the page.
I'm closing the issue. Feel free to reopen it if you have more questions.
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Bug
Environment
bitsandbytes-0.45.2 colorama-0.4.6 dacite-1.9.2 datasets-3.3.0 dill-0.3.8 evaluate-0.4.3 lightning-2.5.0.post0 lightning-utilities-0.12.0 maestro-1.0.0 multiprocess-0.70.16 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 portalocker-3.1.1 pytorch-lightning-2.5.0.post0 sacrebleu-2.5.1 supervision-0.25.1 torchmetrics-1.6.1 transformers-4.47.1 xxhash-3.5.0
Minimal Reproducible Example
pip install "maestro[paligemma_2]"
Additional
No response
Are you willing to submit a PR?
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