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whisper-si-exp-9
SPEAK-ASR/whisper-si-exp-9
whisper-si-exp-9 is a machine learning model from SPEAK-ASR. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 21, 2026
- Updated
- Feb 21, 2026
- SHA
- 339ed3d1
Base models
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. -->
SPEAK-ASR/whisper-si-exp-9
This model is a fine-tuned version of openai/whisper-small on the SPEAK-ASR/openslr-sinhala-asr-norm-noise-rem-preprocessed dataset. It achieves the following results on the evaluation set:
- Loss: 0.1467
- Wer: 16.6932
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 256
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 15.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0 | 0 | 1.8019 | 216.5953 |
| 0.2553 | 0.7941 | 1500 | 0.2526 | 94.6301 |
| 0.2093 | 1.5881 | 3000 | 0.2105 | 88.0346 |
| 0.1887 | 2.3822 | 4500 | 0.1933 | 83.1024 |
| 0.1797 | 3.1763 | 6000 | 0.1836 | 83.8828 |
| 0.1733 | 3.9704 | 7500 | 0.1773 | 78.5470 |
| 0.1606 | 4.7644 | 9000 | 0.1737 | 80.1329 |
| 0.1645 | 5.0 | 9445 | 0.1733 | 19.9827 |
| 0.1690 | 5.5585 | 10500 | 0.1751 | 19.9070 |
| 0.1561 | 6.3526 | 12000 | 0.1690 | 19.4095 |
| 0.1470 | 7.1466 | 13500 | 0.1632 | 18.5933 |
| 0.1473 | 7.9407 | 15000 | 0.1596 | 18.4174 |
| 0.1427 | 8.7348 | 16500 | 0.1560 | 17.8908 |
| 0.1359 | 9.5289 | 18000 | 0.1530 | 17.6062 |
| 0.1302 | 10.3229 | 19500 | 0.1518 | 17.3700 |
| 0.1262 | 11.1170 | 21000 | 0.1503 | 17.1719 |
| 0.1266 | 11.9111 | 22500 | 0.1485 | 16.9562 |
| 0.1238 | 12.7051 | 24000 | 0.1480 | 16.9517 |
| 0.1199 | 13.4992 | 25500 | 0.1472 | 16.7001 |
| 0.1206 | 14.2933 | 27000 | 0.1467 | 16.6932 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.9.0.dev20250821+rocm7.0.0.git125803b7
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- si
- Created
- Feb 21, 2026
- Updated
- Feb 21, 2026