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wav2vec2-large-xls-r-ssw
nutella-toast/wav2vec2-large-xls-r-ssw
wav2vec2-large-xls-r-ssw is a automatic speech recognition model from nutella-toast. 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
- May 20, 2024
- Updated
- May 21, 2024
- SHA
- 82a62e95
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. -->
wav2vec2-large-xls-r-ssw
This model is a fine-tuned version of nutella-toast/wav2vec2-large-xls-r-ssw on the ml-superb-subset dataset. It achieves the following results on the evaluation set:
- Loss: 0.7327
- Wer: 0.7321
Model description
Finetuned version of vanilla wav2vec2-large-xls-r for siSwati. For CS224S at Stanford University.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5779 | 1.0471 | 100 | 0.7902 | 0.8785 |
| 0.5307 | 2.0942 | 200 | 0.8185 | 0.8660 |
| 0.4826 | 3.1414 | 300 | 0.8378 | 0.8692 |
| 0.4529 | 4.1885 | 400 | 0.8048 | 0.9097 |
| 0.5053 | 5.2356 | 500 | 0.9541 | 0.8910 |
| 0.4149 | 6.2827 | 600 | 0.7687 | 0.7913 |
| 0.3179 | 7.3298 | 700 | 0.7678 | 0.7850 |
| 0.2642 | 8.3770 | 800 | 0.7151 | 0.7321 |
| 0.2147 | 9.4241 | 900 | 0.7327 | 0.7321 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 20, 2024
- Updated
- May 21, 2024