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OKAI-midi-gen-v-004
sandernotenbaert/OKAI-midi-gen-v-004
OKAI-midi-gen-v-004 is a other model from sandernotenbaert. Use it for the other task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- other
- Library
- transformers
- Model type
- mistral
- Access
- Public
- Created
- Jun 13, 2025
- Updated
- Jun 13, 2025
- SHA
- 6fc706e7
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
OKAI-midi-gen-v-004
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 10.2911
- Accuracy: 0.0003
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 444
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.3
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 10.2092 | 3.2283 | 100 | 10.2764 | 0.0004 |
| 9.7373 | 6.4565 | 200 | 10.0773 | 0.0020 |
| 9.2158 | 9.6848 | 300 | 9.9404 | 0.0023 |
| 8.8101 | 12.9130 | 400 | 9.9445 | 0.0027 |
| 8.3439 | 16.1304 | 500 | 9.9546 | 0.0016 |
| 7.7001 | 19.3587 | 600 | 9.9316 | 0.0012 |
| 6.9652 | 22.5870 | 700 | 9.9396 | 0.0007 |
| 6.2067 | 25.8152 | 800 | 9.9274 | 0.0007 |
| 5.5185 | 29.0326 | 900 | 9.9435 | 0.0007 |
| 4.8318 | 32.2609 | 1000 | 9.9918 | 0.0004 |
| 4.343 | 35.4891 | 1100 | 10.0255 | 0.0004 |
| 3.9477 | 38.7174 | 1200 | 10.0792 | 0.0004 |
| 3.5394 | 41.9457 | 1300 | 10.1247 | 0.0002 |
| 3.2964 | 45.1630 | 1400 | 10.1824 | 0.0003 |
| 3.0237 | 48.3913 | 1500 | 10.2247 | 0.0003 |
| 2.8621 | 51.6196 | 1600 | 10.2556 | 0.0003 |
| 2.765 | 54.8478 | 1700 | 10.2756 | 0.0001 |
| 2.7383 | 58.0652 | 1800 | 10.2867 | 0.0003 |
| 2.7324 | 61.2935 | 1900 | 10.2906 | 0.0003 |
| 2.6918 | 64.5217 | 2000 | 10.2911 | 0.0003 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- other
- Library
- transformers
- Type
- mistral
- Created
- Jun 13, 2025
- Updated
- Jun 13, 2025