🚀 Portuguese Medium Whisper
This model is a fine - tuned version of [openai/whisper - medium](https://huggingface.co/openai/whisper - medium) on the common_voice_11_0 dataset, which can achieve good results in Portuguese speech recognition.
🚀 Quick Start
This model is a fine - tuned version of [openai/whisper - medium](https://huggingface.co/openai/whisper - medium) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
📚 Documentation
Blog post
All information about this model in this blog post: [Speech - to - Text & IA | Transcreva qualquer áudio para o português com o Whisper (OpenAI)... sem nenhum custo!](https://medium.com/@pierre_guillou/speech - to - text - ia - transcreva - qualquer - %C3%A1udio - para - o - português - com - o - whisper - openai - sem - ad0c17384681).
New SOTA
The Normalized WER in the OpenAI Whisper article with the [Common Voice 9.0](https://huggingface.co/datasets/mozilla - foundation/common_voice_9_0) test dataset is 8.1.
As this test dataset is similar to the [Common Voice 11.0](https://huggingface.co/datasets/mozilla - foundation/common_voice_11_0) test dataset used to evaluate our model (WER and WER Norm), it means that our Portuguese Medium Whisper is better than the [Medium Whisper](https://huggingface.co/openai/whisper - medium) model at transcribing audios Portuguese in text (and even better than the [Whisper Large](https://huggingface.co/openai/whisper - large) that has a WER Norm of 7.1!).
🔧 Technical Details
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 9e - 06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Wer |
| 0.0333 |
2.07 |
1500 |
0.2073 |
6.9770 |
| 0.0061 |
5.05 |
3000 |
0.2628 |
6.5987 |
| 0.0007 |
8.03 |
4500 |
0.2960 |
6.6979 |
| 0.0004 |
11.0 |
6000 |
0.3212 |
6.6794 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
📄 License
This model is licensed under the Apache 2.0 license.
| Property |
Details |
| Model Type |
Portuguese Medium Whisper, a fine - tuned version of openai/whisper - medium |
| Training Data |
mozilla - foundation/common_voice_11_0 |
| Metrics |
wer |
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