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whisper_hf
whispy/whisper_hf
whisper_hf is a automatic speech recognition model from whispy. 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-base on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set: - Loss: 0.1185 - Wer: 17.3916
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 5, 2022
- Updated
- Dec 8, 2022
- SHA
- 5a85972c
Model card
From the Hugging Face model README
Whisper Small Italian
This model is a fine-tuned version of openai/whisper-base on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1185
- Wer: 17.3916
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: 8
- seed: 42
- gradient_accumulation_steps: 1
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 954
- mixed_precision_training: Native AMP
Training results
| Training Loss | Step | Validation Loss | Wer |
|---|---|---|---|
| 1.4744 | 100 | 1.1852 | 117.6059 |
| 0.7241 | 200 | 0.7452 | 79.7386 |
| 0.3321 | 300 | 0.3215 | 21.0497 |
| 0.2930 | 400 | 0.3030 | 20.2129 |
| 0.2698 | 500 | 0.2982 | 19.7635 |
| 0.2453 | 600 | 0.2898 | 19.0097 |
| 0.2338 | 700 | 0.2768 | 18.7054 |
| 0.2402 | 800 | 0.2646 | 18.2214 |
| 0.2340 | 900 | 0.2581 | 17.3916 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- it
- Created
- Dec 5, 2022
- Updated
- Dec 8, 2022