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whisper3_0005
bigmorning/whisper3_0005
whisper3_0005 is a automatic speech recognition model from bigmorning. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
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
- Nov 9, 2022
- Updated
- Nov 9, 2022
- SHA
- 0b2e7872
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
whisper3_0005
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.1592
- Train Accuracy: 0.0175
- Validation Loss: 2.8062
- Validation Accuracy: 0.0199
- Epoch: 4
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 5.0832 | 0.0116 | 4.4298 | 0.0124 | 0 |
| 4.3130 | 0.0131 | 4.0733 | 0.0141 | 1 |
| 3.9211 | 0.0146 | 3.6762 | 0.0157 | 2 |
| 3.5505 | 0.0159 | 3.3453 | 0.0171 | 3 |
| 3.1592 | 0.0175 | 2.8062 | 0.0199 | 4 |
Framework versions
- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 9, 2022
- Updated
- Nov 9, 2022