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whisper-si-exp-10-medium
SPEAK-ASR/whisper-si-exp-10-medium
whisper-si-exp-10-medium 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 23, 2026
- Updated
- Feb 23, 2026
- SHA
- 7b6ad63e
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-10-medium
This model is a fine-tuned version of openai/whisper-medium on the SPEAK-ASR/openslr-sinhala-asr-norm-noise-rem-preprocessed dataset. It achieves the following results on the evaluation set:
- Loss: 0.1862
- Wer: 9.9913
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: 0.0006926233815806411
- train_batch_size: 128
- 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: 295
- num_epochs: 20.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1513 | 1.0 | 657 | 0.1421 | 15.8280 |
| 0.1196 | 2.0 | 1314 | 0.1214 | 13.7379 |
| 0.1062 | 3.0 | 1971 | 0.1152 | 12.8573 |
| 0.0945 | 4.0 | 2628 | 0.1139 | 12.6160 |
| 0.0830 | 5.0 | 3285 | 0.1504 | 15.6556 |
| 0.0755 | 6.0 | 3942 | 0.1068 | 11.4741 |
| 0.0667 | 7.0 | 4599 | 0.1063 | 11.5538 |
| 0.0604 | 8.0 | 5256 | 0.1083 | 11.3148 |
| 0.0526 | 9.0 | 5913 | 0.1083 | 11.1702 |
| 0.0464 | 10.0 | 6570 | 0.1108 | 11.0489 |
| 0.0388 | 11.0 | 7227 | 0.1133 | 10.9288 |
| 0.0315 | 12.0 | 7884 | 0.1204 | 10.7769 |
| 0.0243 | 13.0 | 8541 | 0.1236 | 10.7757 |
| 0.0188 | 14.0 | 9198 | 0.1314 | 10.7273 |
| 0.0127 | 15.0 | 9855 | 0.1409 | 10.4382 |
| 0.0089 | 16.0 | 10512 | 0.1494 | 10.4137 |
| 0.0054 | 17.0 | 11169 | 0.1604 | 10.2128 |
| 0.0032 | 18.0 | 11826 | 0.1710 | 10.1314 |
| 0.0019 | 19.0 | 12483 | 0.1803 | 10.0693 |
| 0.0012 | 20.0 | 13140 | 0.1862 | 9.9913 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.9.0.dev20250821+rocm7.0.0.git125803b7
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- si
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026