Downloads · 30 days
19
46% of all-time downloads
whisper-large-v3-DODa2
Rziane/whisper-large-v3-DODa2
whisper-large-v3-DODa2 is a automatic speech recognition model from Rziane. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
41
Public
Parameters
809M
32.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.2 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- whisper
- Access
- Public
- Created
- Jun 21, 2025
- Updated
- Jun 22, 2025
- SHA
- 4b2e3f61
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-large-v3-DODa2
This model is a fine-tuned version of openai/whisper-large-v3-turbo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7930
- Wer: 40.9862
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 150
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 359 | 0.7424 | 59.3532 |
| 0.9478 | 2.0 | 718 | 0.6449 | 48.3473 |
| 0.4349 | 3.0 | 1077 | 0.6237 | 46.5964 |
| 0.4349 | 4.0 | 1436 | 0.6294 | 45.4351 |
| 0.2436 | 5.0 | 1795 | 0.6367 | 43.5948 |
| 0.1274 | 6.0 | 2154 | 0.6712 | 44.1844 |
| 0.0638 | 7.0 | 2513 | 0.7189 | 43.4340 |
| 0.0638 | 8.0 | 2872 | 0.7456 | 42.1297 |
| 0.0227 | 9.0 | 3231 | 0.7789 | 41.7902 |
| 0.0074 | 10.0 | 3590 | 0.7930 | 40.9862 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- mit
- Created
- Jun 21, 2025
- Updated
- Jun 22, 2025