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whisper-medium-ach
akera/whisper-medium-ach
whisper-medium-ach 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 27, 2024
- Updated
- Apr 28, 2024
- SHA
- 51df51b8
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
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: 0.3501
- Wer: 62.2984
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 |
|---|---|---|---|---|
| 1.081 | 0.05 | 200 | 0.4844 | 138.8609 |
| 0.592 | 1.0248 | 400 | 0.3859 | 154.4355 |
| 0.5445 | 1.0748 | 600 | 0.3434 | 146.1694 |
| 0.3446 | 2.0495 | 800 | 0.3272 | 163.9113 |
| 0.2614 | 3.0242 | 1000 | 0.3098 | 86.2903 |
| 0.2542 | 3.0743 | 1200 | 0.3414 | 91.4315 |
| 0.1972 | 4.049 | 1400 | 0.3289 | 89.3145 |
| 0.1172 | 5.0237 | 1600 | 0.3224 | 100.1008 |
| 0.1226 | 5.0738 | 1800 | 0.3377 | 72.3286 |
| 0.0721 | 6.0485 | 2000 | 0.3277 | 105.8972 |
| 0.0504 | 7.0232 | 2200 | 0.3483 | 80.1411 |
| 0.0503 | 7.0732 | 2400 | 0.3514 | 95.0101 |
| 0.0375 | 8.048 | 2600 | 0.3378 | 64.5665 |
| 0.0348 | 9.0228 | 2800 | 0.3492 | 122.5806 |
| 0.0338 | 9.0727 | 3000 | 0.3502 | 88.6089 |
| 0.0273 | 10.0475 | 3200 | 0.3554 | 88.2560 |
| 0.0194 | 11.0222 | 3400 | 0.3501 | 62.2984 |
| 0.0165 | 11.0723 | 3600 | 0.3478 | 73.3871 |
| 0.0117 | 12.047 | 3800 | 0.3618 | 74.2440 |
| 0.0125 | 13.0218 | 4000 | 0.3587 | 97.6815 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.0
- Datasets 2.19.1.dev0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 27, 2024
- Updated
- Apr 28, 2024