LadderSym Checkpoints (Official)
Official LadderSym checkpoints for reproducing the ICLR 2026 LadderSym results.
Checkpoints
checkpoints/cocochorales/prompted/model.ckptcheckpoints/cocochorales/unprompted/model.ckptcheckpoints/maestro/prompted/model.ckptcheckpoints/maestro/unprompted/model.ckpt
Re-evaluated Checkpoint Results (March 2026)
The metrics below are from the latest re-evaluation runs for each official checkpoint.
Track mapping: Track 0 = Extra, Track 1 = Missed, Track 2 = Correct.
| Dataset | Variant | Onset F1 | Extra F1 (Track 0) | Missed F1 (Track 1) | Correct F1 (Track 2) |
|---|---|---|---|---|---|
| CocoChorales-E | Prompted | 0.9525 | 0.6007 | 0.5977 | 0.9712 |
| CocoChorales-E | Unprompted | 0.9488 | 0.5871 | 0.5923 | 0.9685 |
| MAESTRO-E | Prompted | 0.9389 | 0.8561 | 0.5349 | 0.9441 |
| MAESTRO-E | Unprompted | 0.9301 | 0.8002 | 0.4483 | 0.9349 |
Download Example
from huggingface_hub import hf_hub_download
ckpt = hf_hub_download(
repo_id="ben2002chou/laddersym-checkpoints",
filename="checkpoints/maestro/prompted/model.ckpt",
)
print(ckpt)
Related Links
- Code: https://github.com/ben2002chou/LadderSYM
- Dataset (CocoChorales-E): https://huggingface.co/datasets/ben2002chou/CocoChorales-E
- Dataset (MAESTRO-E): https://huggingface.co/datasets/ben2002chou/MAESTRO-E
- Paper: https://openreview.net/forum?id=cizuvfyQXs
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