Downloads · 30 days
7
11% of all-time downloads
whisper-small-wello-lora
Bedru/whisper-small-wello-lora
whisper-small-wello-lora is a machine learning model from Bedru. 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
66
Public
Repo size
113 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors28.4 MB · 88%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 27, 2026
- Updated
- Apr 27, 2026
- SHA
- 67c83f55
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. -->
Whisper Small am - Bedru Yimam
This model is a fine-tuned version of openai/whisper-small on the wello dataset. It achieves the following results on the evaluation set:
- Loss: 0.8734
- Wer: 101.1385
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.4531 | 1.7301 | 500 | 1.2242 | 107.7109 |
| 2.0232 | 3.4602 | 1000 | 1.0240 | 101.9665 |
| 1.8241 | 5.1903 | 1500 | 0.9223 | 105.7444 |
| 1.7149 | 6.9204 | 2000 | 0.8734 | 101.1385 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- am
- Created
- Apr 27, 2026
- Updated
- Apr 27, 2026