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names-whisper-en-spectrogram-vanilla
shahd237/names-whisper-en-spectrogram-vanilla
names-whisper-en-spectrogram-vanilla is a automatic speech recognition model from shahd237. 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
- Sep 28, 2024
- Updated
- Nov 30, 2024
- SHA
- 74f06dfd
Base models
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. -->
names-whisper-en-spectrogram-vanilla
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0402
- Ner percent: 97.9270
- Wer: 1.0079
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Ner percent | Wer |
|---|---|---|---|---|---|
| 0.0037 | 5.0251 | 1000 | 0.0355 | 98.5904 | 0.9814 |
| 0.0006 | 10.0503 | 2000 | 0.0369 | 97.6783 | 0.9847 |
| 0.0003 | 15.0754 | 3000 | 0.0386 | 97.6783 | 0.9947 |
| 0.0002 | 20.1005 | 4000 | 0.0397 | 97.9270 | 1.0079 |
| 0.0002 | 25.1256 | 5000 | 0.0402 | 97.9270 | 1.0079 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Sep 28, 2024
- Updated
- Nov 30, 2024