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IRIS fine-tuning run numbers
Numbers from the logs and configs of our own LoRA fine-tuning of one open model: per-session validation loss curves, iterations, tokens, sessions that reached a loss that was not a number, adapter folder and checkpoint counts, and two candidate-against-live evaluations with the promotion bar. Numbers only. The training text, the adapter weights and the logs are not published.
Files: summary.json (every session with its validation curve, plus totals) and training_counts.py (the script that produced it from the logs). One caveat: until 26 August the validation step scored a random 100 of 489 examples. Context and key: https://indahl.ai/iris .
Terms
Free to download, read and cite with attribution (Heuremen LLC, with a link to indahl.ai). All rights reserved. Text and data mining, and use of this data to train, fine-tune or build AI models, are not permitted. Names of authors appear as published in their own papers. To have a name or a study removed: https://indahl.ai/contact . Policy: https://indahl.ai/terms#ai-training Reference HLC-DF12602A.
Published by Heuremen LLC. Source: https://indahl.ai . We found it.
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