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whisper-medium-ach-only
akera/whisper-medium-ach-only
whisper-medium-ach-only is a automatic speech recognition model from akera. 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
- Apr 28, 2024
- Updated
- Apr 29, 2024
- SHA
- e28f3a1c
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-ach-only
This model is a fine-tuned version of openai/whisper-medium on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3942
- Wer: 21.1520
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1662 | 0.05 | 200 | 0.7062 | 47.0255 |
| 0.6014 | 1.0248 | 400 | 0.4606 | 32.9556 |
| 0.5638 | 1.0748 | 600 | 0.4021 | 27.2899 |
| 0.3677 | 2.0495 | 800 | 0.3736 | 24.3626 |
| 0.2711 | 3.0242 | 1000 | 0.3648 | 23.5127 |
| 0.2862 | 3.0743 | 1200 | 0.3402 | 23.7016 |
| 0.2023 | 4.049 | 1400 | 0.3665 | 22.4740 |
| 0.1166 | 5.0237 | 1600 | 0.4023 | 23.6072 |
| 0.1089 | 5.0738 | 1800 | 0.3871 | 22.5685 |
| 0.0859 | 6.0485 | 2000 | 0.3837 | 25.6846 |
| 0.0557 | 7.0232 | 2200 | 0.3942 | 21.1520 |
| 0.0572 | 7.0732 | 2400 | 0.3805 | 22.0963 |
| 0.0469 | 8.048 | 2600 | 0.3995 | 23.6072 |
| 0.0308 | 9.0228 | 2800 | 0.4057 | 21.5297 |
| 0.0288 | 9.0727 | 3000 | 0.3999 | 21.1520 |
| 0.0222 | 10.0475 | 3200 | 0.4121 | 21.7186 |
| 0.0239 | 11.0222 | 3400 | 0.4162 | 21.9075 |
| 0.024 | 11.0723 | 3600 | 0.4154 | 21.9075 |
| 0.0219 | 12.047 | 3800 | 0.4186 | 21.3409 |
| 0.0133 | 13.0218 | 4000 | 0.4173 | 21.1520 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 28, 2024
- Updated
- Apr 29, 2024