model string | version string | label string | run string | date timestamp[s] | base_model string | method string | weights_from string | previous_version string | previous_run string | blend string | dataset_revision string | pool_takes int64 | pool_hours float64 | delta_takes int64 | delta_minutes float64 | delta_hours float64 | growth float64 | new_terms int64 | epochs int64 | lr float64 | train_minutes float64 | best_val_wer float64 | gpu string | hf_repo string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fritter | v1.0 | Fritter v1.0 | r11-general | 2026-10-27T00:00:00 | nvidia/parakeet-tdt-0.6b-v2 | from stock | stock | null | null | general | 520e7506e379 | 3,397 | 5.65 | 3,397 | 339 | 5.65 | null | 1,306 | 20 | 0.00003 | 38.2 | 0.0424 | L40S | danielrosehill/Fritter |
Fritter | v1.1 | Fritter v1.1 | r25-general | 2026-11-03T00:00:00 | nvidia/parakeet-tdt-0.6b-v2 | from stock | stock | Fritter v1.0 | r11-general | general | 5ce184058554 | 8,022 | 12.36 | 4,625 | 402.5 | 6.71 | 1.187 | 1,533 | 20 | 0.00003 | 74.1 | 0.04023 | L40S | danielrosehill/Fritter |
Fritter | v1.2 | Fritter v1.2 | r30-general | 2026-11-05T00:00:00 | nvidia/parakeet-tdt-0.6b-v2 | incremental | r25-general | Fritter v1.1 | r25-general | general | 306a7450433d99c5892ac62acdb54f54f94a717c | 10,827 | 15.29 | 2,805 | 176 | 2.93 | 0.237 | 1,333 | 3 | 0.00001 | 14.4 | 0.0463 | L40S | danielrosehill/Fritter |
Fritter Nemotron | v1.0 | Fritter Nemotron v1.0 | r31-nemotron-general | 2026-11-05T00:00:00 | nvidia/nemotron-speech-streaming-en-0.6b | from stock | null | null | null | general | 306a7450433d99c5892ac62acdb54f54f94a717c | 10,827 | 15.29 | 10,827 | 917.5 | 15.29 | null | 4,169 | 20 | 0.00003 | 92.7 | 0.0583 | L40S | danielrosehill/Fritter-Nemotron-0.6B |
Fritter Iterations
One row per released iteration of Fritter, a fine-tune of Parakeet TDT 0.6B v2, and its streaming twin, with the data that went into it. Newest last. Updated after every release.
| Column | Meaning |
|---|---|
model, version, label, run |
Model, its version, the release label and the training run id |
date |
Release (or training) date |
base_model |
The checkpoint family the line was first fine-tuned from |
method |
incremental (continued from the previous weights) or from stock |
weights_from, previous_version, previous_run |
The run the weights came from, and the iteration the delta is measured against |
blend |
Data blend: all (everything), cs (code-switching mix), general (everything except code-switching) |
dataset_revision |
Commit of the recordings dataset the run trained on |
pool_takes, pool_hours |
Takes and hours of the blend's training pool at that revision |
delta_takes, delta_minutes, delta_hours |
Takes in the pool that were not in the previous iteration's pool |
growth |
Pool minutes relative to the previous iteration's pool |
new_terms |
Target terms new to the pool |
epochs, lr, train_minutes, best_val_wer, gpu |
Training recipe and outcome (validation WER is per run and not comparable across runs) |
hf_repo |
Where the weights are published |
Pool figures apply today's blend rules to each old revision, so for older runs they are close to, not identical with, what the run trained on. A from-stock run with no earlier iteration counts its whole pool as delta.
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