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README.md
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---
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license: cc-by-4.0
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pretty_name: Hebrish Model Iterations
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tags: [asr, model-training, changelog]
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configs:
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- config_name: default
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data_files: iterations.jsonl
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---
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# Hebrish Model Iterations
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One row per released iteration of every Hebrish speech model (Sabich, Shakshuka, Jachnun and variants), with the data that went into it. Newest last.
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Updated after every release.
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| Column | Meaning |
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|---|---|
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| `model`, `version`, `label`, `run` | Model, its version, the release label and the training run id |
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| `date` | Release (or training) date |
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| `base_model` | The checkpoint family the line was first fine-tuned from |
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| `method` | `incremental` (continued from the previous weights) or `from stock` |
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| `weights_from`, `previous_version`, `previous_run` | The run the weights came from, and the iteration the delta is measured against |
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| `blend` | Data blend: `all` (everything), `cs` (code-switching mix), `general` (everything except code-switching) |
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| `dataset_revision` | Commit of the recordings dataset the run trained on |
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| `pool_takes`, `pool_hours` | Takes and hours of the blend's training pool at that revision |
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| `delta_takes`, `delta_minutes`, `delta_hours` | Takes in the pool that were not in the previous iteration's pool |
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| `growth` | Pool minutes relative to the previous iteration's pool |
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| `new_terms` | Target terms new to the pool |
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| `epochs`, `lr`, `train_minutes`, `best_val_wer`, `gpu` | Training recipe and outcome (validation WER is per run and not comparable across runs) |
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| `hf_repo` | Where the weights are published |
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Pool figures apply today's blend rules to each old revision, so for older runs they are close to, not
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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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