webfm-eval / kaggle

Commit History

3 days ago

  1. three takes for weak lines, keep the best

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  2. retake near-silent takes; whisper cap 15

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  3. retake near-silent takes; whisper cap 15

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  4. whisper lines capped at 18 chars; retake short takes

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  5. whisper lines capped at 18 chars; retake short takes

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  6. whisper lines capped at 18 chars; retake short takes

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  7. radio: read a director script file (was stale on the hub)

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  8. director -> tts pipeline with two interpreters

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  9. director train: reuse collected scripts

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  10. director: 160 training scripts + fixed block lookup

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  11. director: 160 training scripts + fixed block lookup

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  12. director: 40 topics + collect/train/eval driver

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  13. director: 40 topics + collect/train/eval driver

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  14. director: 40 topics + collect/train/eval driver

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  15. director: six prefixed lines instead of JSON

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  16. director: six prefixed lines instead of JSON

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  17. director: few-shot prompt + honest contract (8-40 chars)

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  18. director: few-shot prompt + honest contract (8-40 chars)

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  19. director probe: drop presence_penalty, use dtype=

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  20. director: run the probe in a fresh interpreter

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  21. director: import sys

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  22. director: hold huggingface_hub below 2 (httpx renamed)

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  23. director: resolve transformers5 + hub1 in one pip pass

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  24. director: Qwen3.5-0.8B probe against the TTS contract

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  25. director: Qwen3.5-0.8B probe against the TTS contract

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  26. radio: student reuses teacher frames; parse malformed script JSON

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  27. radio: require six longer lines

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4 days ago

  1. train the student on the whisper voice

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  2. mining: reject probe CER>0.5, drop unusable modulation gate

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  3. whisper slot a09 from buy1take2; radio cast updated

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  4. style probe: FREEFORM instruction and BASIC controls

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  5. style probe: FREEFORM instruction and BASIC controls

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  6. whisper probe: 6 low-voicing candidates

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  7. whisper probe: 6 low-voicing candidates

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  8. radio notebook: verify checkpoint length

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  9. radio demo: 4000-step student + end-to-end script

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  10. radio demo: 4000-step student + end-to-end script

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  11. voc: stop at the ISTFT head projection, ship spec

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  12. fix lm cache order and additive mask; probe audio VAE

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  13. export: drop removed kwarg, host-side numpy

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  14. export: put dummy tensors on the model device

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  15. browser export: lm/aggregator/voc with validation + int4

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  16. browser export: lm/aggregator/voc with validation + int4

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  17. add structure probe for the browser export

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  18. add structure probe for the browser export

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  19. release candidate: 4000 steps, seeded teacher, keep audio

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  20. release candidate: 4000 steps, seeded teacher, keep audio

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  21. run4: unpack cached traj, seed teacher, 8000 steps

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  22. run4: unpack cached traj, seed teacher, 8000 steps

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  23. run 3: 4000 steps, keep traj cache

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