metadata
license: cc-by-4.0
pretty_name: Fritter Iterations
tags:
- asr
- model-training
- changelog
configs:
- config_name: default
data_files: iterations.jsonl
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.