MIDIT — Checkpoints
Pretrained weights for MIDIT, a BERT-style masked language model for symbolic music infilling (REMI+ tokenization, ~42.5M parameters).
Code, usage and full results: https://github.com/SimoneZanetti00/MIDIT
| File | Phase | Description |
|---|---|---|
midit-phase1-epoch14.ckpt |
Phase 1 (MLM pre-training) | base / zero-shot model, val_loss 2.7254 |
midit-infilling-epoch05.ckpt |
Phase 1b (BarFillMasking fine-tuning) | fine-tuned infilling model |
Weights contain the Lightning state_dict + hyper_parameters only
(optimizer state removed). Load with the model class from the repository.
Trained on the Lakh MIDI Dataset; released for research purposes.
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