Hebrish/Model-Iterations

Hebrish Model Iterations

One row per released iteration of every Hebrish speech model (Sabich, Shakshuka, Jachnun and variants), 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.