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whisper-medium-it
luigisaetta/whisper-medium-it
whisper-medium-it is a automatic speech recognition model from luigisaetta. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of openai/whisper-medium on the commonvoice110 dataset.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 8, 2022
- Updated
- Dec 11, 2022
- SHA
- c356408d
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Model card
From the Hugging Face model README
luigisaetta/whisper-medium-it
This model is a fine-tuned version of openai/whisper-medium on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1452
- Wer: 5.7191
Model description
This model is a fine-tuning of the OpenAI Whisper Medium model, on the specified dataset.
Intended uses & limitations
This model has been developed as part of the Hugging Face Whisper Fine Tuning sprint, December 2022.
It is meant to spread the knowledge on how these models are built and can be used to develop solutions where it is needed ASR on the Italian Language.
It has not been extensively tested. It is possible that on other datasets the accuracy will be lower.
Please, test it before using it.
Training and evaluation data
Trained and tested on Mozilla Common Voice, vers. 11
Training procedure
The script run.sh, and the Python file, used for the training are saved in the repository.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1216 | 0.2 | 1000 | 0.2289 | 10.0594 |
| 0.1801 | 0.4 | 2000 | 0.1851 | 7.6593 |
| 0.1763 | 0.6 | 3000 | 0.1615 | 6.5258 |
| 0.1337 | 0.8 | 4000 | 0.1506 | 6.0427 |
| 0.0742 | 1.05 | 5000 | 0.1452 | 5.7191 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- it
- Created
- Dec 8, 2022
- Updated
- Dec 11, 2022