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wh_l_v3_t_fleurs_fleurs_52027_trial
dianavdavidson/wh_l_v3_t_fleurs_fleurs_52027_trial
wh_l_v3_t_fleurs_fleurs_52027_trial is a automatic speech recognition model from dianavdavidson. 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
- Apr 9, 2026
- Updated
- Apr 9, 2026
- SHA
- 7d72d447
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. -->
wh_l_v3_t_fleurs_fleurs_52027_trial
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.2165
- Global Wer: 25.7836
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch_fused 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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Global Wer |
|---|---|---|---|---|
| 0.2940 | 0.0945 | 50 | 0.2727 | 30.8834 |
| 0.2759 | 0.1890 | 100 | 0.2645 | 29.1638 |
| 0.2329 | 0.2836 | 150 | 0.2445 | 27.2477 |
| 0.2406 | 0.3781 | 200 | 0.2422 | 28.1517 |
| 0.2205 | 0.4726 | 250 | 0.2277 | 25.8819 |
| 0.2208 | 0.5671 | 300 | 0.2327 | 26.1472 |
| 0.2211 | 0.6616 | 350 | 0.2129 | 25.0762 |
| 0.2058 | 0.7561 | 400 | 0.2181 | 25.1744 |
| 0.1896 | 0.8507 | 450 | 0.2139 | 24.2999 |
| 0.1961 | 0.9452 | 500 | 0.2165 | 25.7836 |
Framework versions
- Transformers 5.0.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- mit
- Created
- Apr 9, 2026
- Updated
- Apr 9, 2026