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tericvoices_luganda
KitoEver/tericvoices_luganda
tericvoices_luganda is a automatic speech recognition model from KitoEver. 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
- wav2vec2
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 20, 2024
- SHA
- 0ed17c85
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. -->
tericvoices_luganda
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4047
- Wer: 0.5150
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: 0.0005
- 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: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.3976 | 0.9 | 1000 | 0.7300 | 0.8515 |
| 0.5609 | 1.81 | 2000 | 0.5297 | 0.6709 |
| 0.4076 | 2.71 | 3000 | 0.4736 | 0.5962 |
| 0.3255 | 3.61 | 4000 | 0.4087 | 0.5310 |
| 0.2666 | 4.52 | 5000 | 0.4047 | 0.5150 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 11, 2024
- Updated
- Jan 20, 2024