Downloads · 30 days
5
3% of all-time downloads
whisper-medium-libyan
Rhaodgh/whisper-medium-libyan
whisper-medium-libyan is a automatic speech recognition model from Rhaodgh. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
149
Public
Parameters
764M
18.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.1 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 17, 2026
- Updated
- Jun 29, 2026
- SHA
- bad24863
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 medium — Libyan Arabic Dialect
This model is a fine-tuned version of openai/whisper-medium on the Custom Libyan Arabic podcast — 258 manually transcribed clips dataset. It achieves the following results on the evaluation set:
- Loss: 0.7577
- Wer: 34.7790
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- 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: 25
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1566 | 6.6897 | 100 | 0.5647 | 34.1952 |
| 0.0242 | 13.3448 | 200 | 0.6333 | 35.2794 |
| 0.0120 | 20.0 | 300 | 0.7126 | 35.7798 |
| 0.0018 | 26.6897 | 400 | 0.7480 | 35.0292 |
| 0.0014 | 33.3448 | 500 | 0.7577 | 34.7790 |
Framework versions
- Transformers 5.12.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Jun 17, 2026
- Updated
- Jun 29, 2026