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whisper-poula-asr
kavyamanohar/whisper-poula-asr
whisper-poula-asr is a automatic speech recognition model from kavyamanohar. 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
- Oct 11, 2024
- Updated
- Oct 13, 2024
- SHA
- 53461309
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-Small-paula
This model is a fine-tuned version of openai/whisper-small on the Paula dataset. It achieves the following results on the evaluation set:
- Loss: 3.0264
- Wer: 106.0914
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: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3022 | 12.5 | 200 | 2.6624 | 109.5431 |
| 0.0077 | 25.0 | 400 | 2.8312 | 105.1777 |
| 0.0012 | 37.5 | 600 | 2.9571 | 110.4569 |
| 0.0008 | 50.0 | 800 | 3.0120 | 107.6142 |
| 0.0007 | 62.5 | 1000 | 3.0264 | 106.0914 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- pmx
- Created
- Oct 11, 2024
- Updated
- Oct 13, 2024