wav2vec2-xls-r-Wolof-5-hours-alffa-plus-fleurs-dataset
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.9490
- Wer: 0.5813
- Cer: 0.2002
Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.2607 | 19.5122 | 400 | 3.0124 | 1.0 | 1.0 |
| 1.4835 | 39.0244 | 800 | 0.9490 | 0.5813 | 0.2002 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.19.1
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Model tree for asr-africa/wav2vec2-xls-r-Wolof-5-hours-alffa-plus-fleurs-dataset
Base model
facebook/wav2vec2-xls-r-300m