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wav2vec2-large-xls-r-1b-cv-13-elderly-frisian
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on a subset of the Common Voice dataset for the elderly population. It achieves the following results on the evaluation set:
- Loss: 0.6129
- Wer: 0.4703
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: 8e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 80
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.2575 | 5.0 | 50 | 3.0613 | 1.0 |
| 3.0917 | 10.0 | 100 | 3.1951 | 1.0 |
| 2.9905 | 15.0 | 150 | 2.8278 | 1.0 |
| 2.6373 | 20.0 | 200 | 1.4290 | 1.0013 |
| 1.8438 | 25.0 | 250 | 0.8604 | 0.7939 |
| 1.1253 | 30.0 | 300 | 0.7872 | 0.7009 |
| 0.7395 | 35.0 | 350 | 0.6323 | 0.5780 |
| 0.7408 | 40.0 | 400 | 0.6096 | 0.5315 |
| 0.8041 | 45.0 | 450 | 0.6081 | 0.5239 |
| 0.6946 | 50.0 | 500 | 0.6098 | 0.5074 |
| 0.5954 | 55.0 | 550 | 0.6358 | 0.5132 |
| 0.5571 | 60.0 | 600 | 0.6034 | 0.4922 |
| 0.4828 | 65.0 | 650 | 0.6084 | 0.4774 |
| 0.6639 | 70.0 | 700 | 0.5984 | 0.4712 |
| 0.5682 | 75.0 | 750 | 0.5985 | 0.4712 |
| 0.3801 | 80.0 | 800 | 0.6129 | 0.4703 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
