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whisper-tiny-fo
lukespeech/whisper-tiny-fo
whisper-tiny-fo is a automatic speech recognition model from lukespeech. 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
- Mar 5, 2024
- Updated
- Mar 5, 2024
- SHA
- 3f09b67a
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-tiny-fo
This model is a fine-tuned version of openai/whisper-tiny on the ravnursson_asr dataset. It achieves the following results on the evaluation set:
- Loss: 2.3908
- Wer: 97.4000
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: 5
- training_steps: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.43 | 10 | 3.7140 | 118.4000 |
| No log | 2.86 | 20 | 2.6041 | 100.2 |
| 2.8026 | 4.29 | 30 | 2.4362 | 97.6 |
| 2.8026 | 5.71 | 40 | 2.3908 | 97.4000 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024