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wh_med_fleurs_fleurs_52027_trial
dianavdavidson/wh_med_fleurs_fleurs_52027_trial
wh_med_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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 9, 2026
- Updated
- Apr 9, 2026
- SHA
- 10d4ccdb
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_med_fleurs_fleurs_52027_trial
This model is a fine-tuned version of openai/whisper-medium on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.2113
- Global Wer: 23.7595
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 |
|---|---|---|---|---|
| 0.5990 | 0.0945 | 50 | 0.5291 | 35.8947 |
| 0.4466 | 0.1890 | 100 | 0.3800 | 32.4359 |
| 0.2550 | 0.2836 | 150 | 0.2702 | 28.9575 |
| 0.2599 | 0.3781 | 200 | 0.2565 | 27.6801 |
| 0.2367 | 0.4726 | 250 | 0.2449 | 27.4246 |
| 0.2151 | 0.5671 | 300 | 0.2336 | 25.9900 |
| 0.2198 | 0.6616 | 350 | 0.2234 | 25.8819 |
| 0.2022 | 0.7561 | 400 | 0.2195 | 24.2508 |
| 0.1840 | 0.8507 | 450 | 0.2130 | 23.6317 |
| 0.1929 | 0.9452 | 500 | 0.2113 | 23.7595 |
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
- apache-2.0
- Created
- Apr 9, 2026
- Updated
- Apr 9, 2026