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whisper-small-dv
Frorozcol/whisper-small-dv
whisper-small-dv is a automatic speech recognition model from Frorozcol. 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
- Aug 23, 2023
- Updated
- Dec 26, 2023
- SHA
- 5b06961c
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-dv
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6171
- Wer Ortho: 27.4836
- Wer: 0.2790
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0008 | 17.86 | 500 | 0.5203 | 26.2939 | 0.2647 |
| 0.0002 | 35.71 | 1000 | 0.5680 | 25.9964 | 0.2630 |
| 0.0001 | 53.57 | 1500 | 0.5961 | 26.1154 | 0.2653 |
| 0.0001 | 71.43 | 2000 | 0.6171 | 27.4836 | 0.2790 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 23, 2023
- Updated
- Dec 26, 2023