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english-filipino-wav2vec2-l-xls-r-test
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.5795
- Wer: 0.3996
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0751 | 2.09 | 400 | 2.4744 | 0.9804 |
| 0.7852 | 4.19 | 800 | 0.5836 | 0.5620 |
| 0.3751 | 6.28 | 1200 | 0.4873 | 0.4658 |
| 0.2578 | 8.38 | 1600 | 0.5725 | 0.5289 |
| 0.1897 | 10.47 | 2000 | 0.5342 | 0.4856 |
| 0.1394 | 12.57 | 2400 | 0.5677 | 0.4761 |
| 0.1048 | 14.66 | 2800 | 0.5708 | 0.4415 |
| 0.0848 | 16.75 | 3200 | 0.5908 | 0.4374 |
| 0.0652 | 18.85 | 3600 | 0.5795 | 0.3996 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
