Downloads · 30 days
7
35% of all-time downloads
whisper-tiny-only_en_v10
naji02010101/whisper-tiny-only_en_v10
whisper-tiny-only_en_v10 is a automatic speech recognition model from naji02010101. 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
20
Public
Parameters
37.8M
1.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors151 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 21, 2025
- Updated
- Jun 21, 2025
- SHA
- 2a7ebb1d
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 tiny En v9 Naji
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6727
- Wer Ortho: 29.3603
- Wer: 20.8055
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: 3e-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.2631 | 0.08 | 50 | 0.6734 | 29.0284 | 20.4749 |
| 0.2464 | 0.16 | 100 | 0.6729 | 29.3915 | 20.8701 |
| 0.2611 | 0.24 | 150 | 0.6743 | 29.4150 | 20.8511 |
| 0.2333 | 0.32 | 200 | 0.6748 | 29.0635 | 20.4711 |
| 0.2556 | 0.4 | 250 | 0.6728 | 29.0284 | 20.4445 |
| 0.2498 | 0.48 | 300 | 0.6721 | 29.0869 | 20.4787 |
| 0.245 | 0.56 | 350 | 0.6710 | 29.0830 | 20.5091 |
| 0.2652 | 0.64 | 400 | 0.6709 | 29.4072 | 20.8169 |
| 0.2373 | 0.72 | 450 | 0.6707 | 29.4150 | 20.9157 |
| 0.2921 | 0.8 | 500 | 0.6727 | 29.3603 | 20.8055 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 2.14.6
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Jun 21, 2025
- Updated
- Jun 21, 2025