Downloads · 30 days
8
7% of all-time downloads
whisper-si-exp-4
SPEAK-ASR/whisper-si-exp-4
whisper-si-exp-4 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. --
All-time downloads
119
Public
Repo size
341 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt28.4 MB · 43%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 28, 2026
- Updated
- Feb 8, 2026
- SHA
- 4a3bdd3a
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-small-si-openslr_plus_youtube_data
This model is a fine-tuned version of openai/whisper-small on the Whisper Small - Sinhala ASR Fine-Tuned dataset. It achieves the following results on the evaluation set:
- Loss: 0.1465
Model description
- WandB ID: hardy-hill-51
- Used full OpenSLR dataset + Our Youtube dataset
- On eval didn't use Youtube dataset test split
- Used LoRA adapters
- Previous name was
SPEAK-ASR/whisper-small-si-openslr_plus_youtube_data
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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.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: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3137 | 0.4254 | 1000 | 0.2489 |
| 0.2126 | 0.8507 | 2000 | 0.1943 |
| 0.1506 | 1.2761 | 3000 | 0.1737 |
| 0.1835 | 1.7014 | 4000 | 0.1607 |
| 0.1879 | 2.1268 | 5000 | 0.1538 |
| 0.1485 | 2.5521 | 6000 | 0.1494 |
| 0.1473 | 2.9775 | 7000 | 0.1465 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- si
- Created
- Jan 28, 2026
- Updated
- Feb 8, 2026