Downloads · 30 days
7
35% of all-time downloads
whisper-small-darija-lora
Hossamfazaz/whisper-small-darija-lora
whisper-small-darija-lora is a machine learning model from Hossamfazaz. 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
20
Public
Repo size
42.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.2 MB · 71%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 1, 2025
- Updated
- Dec 1, 2025
- SHA
- 3ab92492
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-darija-lora
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1139
- Wer: 76.5517
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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- 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: 50
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.9448 | 1.0 | 28 | 2.6142 | 81.8832 |
| 2.3772 | 2.0 | 56 | 2.2338 | 77.0403 |
| 2.0813 | 3.0 | 84 | 2.1139 | 76.5517 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Dec 1, 2025
- Updated
- Dec 1, 2025