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whisper-noisy
alxfng/whisper-noisy
whisper-noisy is a automatic speech recognition model from alxfng. 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
- Jun 5, 2023
- Updated
- Jun 5, 2023
- SHA
- 9add5185
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 Base Noisy
This model is a fine-tuned version of openai/whisper-base on the Noisy Common Voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.4454
- Wer: 59.3212
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3125 | 3.19 | 1000 | 1.0918 | 56.8476 |
| 0.0585 | 6.39 | 2000 | 1.2650 | 58.9703 |
| 0.0153 | 9.58 | 3000 | 1.3946 | 58.3412 |
| 0.0066 | 12.78 | 4000 | 1.4454 | 59.3212 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Jun 5, 2023
- Updated
- Jun 5, 2023