Document six completed LR runs as preparation for full Aya training on Perun. Record selection of LR 0.00010 by lowest final validation loss, selected-model lm-eval and partial SK-bench results, reproducible provenance, and dataset-access/context-truncation limitations. Preserve existing 30k and Titan material.
380 lines
13 KiB
JSON
380 lines
13 KiB
JSON
{
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"comparison_scope": "All ten Hruska Aya 100k runs; Titan excluded.",
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"units": "Accuracy metrics use 0..1; SKQuad scores use 0..100. N/A remains unavailable.",
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"new_result_sha256": "5774cad7440ab807be44dc5bfa82ac7cbb4c0281204fc397a10c2bbfe7b8f452",
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"task_hashes_caveat": "task_hashes is empty in all eleven JSONs; equality is not a nonempty content-hash verification.",
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"model_loading_difference": "Older runs load base model plus PEFT adapter; 300k loads a merged model with explicit base tokenizer. Model arguments, parameter counts and model SHA therefore differ.",
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"new_n_samples": {
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