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whisper-small-ewe-2
abiyo27/whisper-small-ewe-2
whisper-small-ewe-2 is a automatic speech recognition model from abiyo27. 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 12, 2024
- Updated
- Jun 30, 2024
- SHA
- 3fba24e9
Base models
Datasets
Spaces
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_Ewe
This model is a fine-tuned version of openai/whisper-medium on the BibleTTS dataset. It achieves the following results on the evaluation set:
- Loss: 0.1021
- Wer: 10.0950
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: 1
- 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: 14000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2196 | 0.1802 | 4000 | 0.1780 | 19.3903 |
| 0.1587 | 0.3605 | 8000 | 0.1375 | 13.4933 |
| 0.1162 | 0.5407 | 12000 | 0.1021 | 10.0950 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- multilingual
- Created
- Jun 12, 2024
- Updated
- Jun 30, 2024