wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1492
- Wer: 0.0575
- Cer: 0.0491
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: 0.0002
- 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.6145 | 0.9998 | 2494 | 0.2315 | 0.0814 | 0.0682 |
| 0.4098 | 2.0 | 4989 | 0.1790 | 0.0674 | 0.0568 |
| 0.2986 | 2.9994 | 7482 | 0.1492 | 0.0575 | 0.0491 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1
- Datasets 2.19.2
- Tokenizers 0.20.1