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whisper_fine_tunning_2scx
nguyenloi/whisper_fine_tunning_2scx
whisper_fine_tunning_2scx is a automatic speech recognition model from nguyenloi. Use it when you need speech turned into text. It is set up for transformers.
This model is a fine-tuned version of openai/whisper-medium on the following datasets: - mozilla-foundation/commonvoice110 - google/fleurs - vivos
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Dec 1, 2023
- Updated
- Dec 1, 2023
- SHA
- 0cac9f2f
Model card
From the Hugging Face model README
Whisper Medium VI - Multi - Augmented
This model is a fine-tuned version of openai/whisper-medium on the following datasets:
It achieves the following results on the evaluation set:
- Loss: 0.3696
- Wer: 16.6594
- Cer: 7.7625
Training procedure
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 | Cer |
|---|---|---|---|---|---|
| 0.1992 | 1.8 | 1000 | 0.2726 | 17.4929 | 8.2562 |
| 0.0402 | 3.6 | 2000 | 0.3317 | 17.4929 | 8.2588 |
| 0.0073 | 5.4 | 3000 | 0.3429 | 17.6793 | 8.8913 |
| 0.0014 | 7.19 | 4000 | 0.3599 | 19.0283 | 9.5103 |
| 0.0006 | 8.99 | 5000 | 0.3696 | 16.6594 | 7.7625 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- Dec 1, 2023
- Updated
- Dec 1, 2023