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whisper-small-ctmtrained
ctm446/whisper-small-ctmtrained
whisper-small-ctmtrained is a automatic speech recognition model from ctm446. 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
- Dec 23, 2023
- Updated
- Dec 24, 2023
- SHA
- 021793c9
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. -->
whisper-small-ctmtrained
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3589
- Wer: 23.4670
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: 4
- 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 |
|---|---|---|---|---|
| 0.3561 | 0.25 | 1000 | 0.4019 | 29.4560 |
| 0.2765 | 0.5 | 2000 | 0.3836 | 28.5930 |
| 0.3741 | 0.75 | 3000 | 0.3685 | 24.5757 |
| 0.2769 | 1.0 | 4000 | 0.3589 | 23.4670 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2+cu118
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Dec 23, 2023
- Updated
- Dec 24, 2023