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whisper-small-allSNR-v2
marccgrau/whisper-small-allSNR-v2
whisper-small-allSNR-v2 is a automatic speech recognition model from marccgrau. 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
- Jan 11, 2023
- Updated
- Jan 11, 2023
- SHA
- 6fca268d
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 German SBB all SNR - v2
This model is a fine-tuned version of openai/whisper-small on the SBB Dataset 05.01.2023 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7183
- Wer: 1.8738
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-06
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.5636 | 0.71 | 100 | 2.7931 | 1.1541 |
| 1.4736 | 1.42 | 200 | 0.8866 | 1.0444 |
| 0.8446 | 2.13 | 300 | 0.9127 | 1.5136 |
| 0.7396 | 2.84 | 400 | 0.7580 | 1.2644 |
| 0.7699 | 3.55 | 500 | 0.7183 | 1.8738 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- de
- Created
- Jan 11, 2023
- Updated
- Jan 11, 2023