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whisper-large-v3-turbo-16e-20000u
JacobLinCool/whisper-large-v3-turbo-16e-20000u
whisper-large-v3-turbo-16e-20000u is a automatic speech recognition model from JacobLinCool. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- whisper
- Access
- Public
- Created
- Jul 28, 2025
- Updated
- Jul 28, 2025
- SHA
- 6b32cdab
Base models
Datasets
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-turbo-16e-20000u
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6263
- Wer: 20.9247
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 2000
- training_steps: 20000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0 | 0 | 8.8155 | 100.0 |
| 0.6438 | 0.1 | 2000 | 1.1388 | 50.2930 |
| 0.5006 | 0.2 | 4000 | 0.9544 | 42.9781 |
| 0.3766 | 0.3 | 6000 | 0.8654 | 32.7328 |
| 0.3788 | 0.4 | 8000 | 0.7993 | 29.0862 |
| 0.3314 | 0.5 | 10000 | 0.7550 | 31.1048 |
| 0.2993 | 0.6 | 12000 | 0.7117 | 24.2240 |
| 0.3074 | 0.7 | 14000 | 0.6822 | 26.6768 |
| 0.3779 | 0.8 | 16000 | 0.6472 | 27.6319 |
| 0.3094 | 0.9 | 18000 | 0.6297 | 20.5774 |
| 0.3768 | 1.0 | 20000 | 0.6263 | 20.9247 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.8.0.dev20250319+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- mit
- Created
- Jul 28, 2025
- Updated
- Jul 28, 2025