neurips2026lrtransfer/LR-Transfer-Trajectory
Dataset Documentation Overview This dataset captures per-step training and validation metrics from training runs of a 12-layer GPT-style decoder-only transformer. Each run is stored as a single .csv file in which every row corresponds to one logged step, and several columns hold per-parameter measurements encoded as JSON. The dataset is designed to support post-hoc analysis of: Loss curves (train / val) Throughput and step latency Per-layer / per-parameter… See the full description on the dataset page: https://huggingface.co/datasets/neurips2026lrtransfer/LR-Transfer-Trajectory.
| Author / organization | neurips2026lrtransfer |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 7 May 2026 |
| Last updated at source | 7 May 2026 |
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- 17 Oct 2026 Description: Dataset Documentation Overview This dataset captures per-step training and validation metrics from training runs of a 12-layer GPT-style decoder-only transformer. Each run is stored as a single .csv file in which every row corresponds to on → Dataset Documentation Overview This dataset captures per-step training and validation metrics from training runs of a 12-layer GPT-style decoder-only transformer. Each run is stored as a single .csv file in which every row corresponds to on
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