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whisper-medium-sr-fleurs
Sagicc/whisper-medium-sr-fleurs
whisper-medium-sr-fleurs is a automatic speech recognition model from Sagicc. 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
- Sep 15, 2023
- Updated
- Aug 22, 2026
- SHA
- eb8d5056
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 Medium Sr Fleurs
This model is a fine-tuned version of openai/whisper-medium on the Google Fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.3577
- Wer Ortho: 0.2072
- Wer: 0.1794
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0341 | 2.49 | 500 | 0.2704 | 0.2074 | 0.1789 |
| 0.0109 | 4.98 | 1000 | 0.3091 | 0.2075 | 0.1774 |
| 0.006 | 7.46 | 1500 | 0.3143 | 0.2031 | 0.1713 |
| 0.0081 | 9.95 | 2000 | 0.3284 | 0.2070 | 0.1754 |
| 0.0038 | 12.44 | 2500 | 0.3426 | 0.2099 | 0.1805 |
| 0.0042 | 14.93 | 3000 | 0.3630 | 0.2113 | 0.1821 |
| 0.0032 | 17.41 | 3500 | 0.3659 | 0.2089 | 0.1791 |
| 0.0046 | 19.9 | 4000 | 0.3577 | 0.2072 | 0.1794 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- sr
- Created
- Sep 15, 2023
- Updated
- Aug 22, 2026