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english-filipino-wav2vec2-l-xls-r-test-07
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: 0.6768
- Wer: 0.3755
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.9255 | 2.09 | 400 | 0.7742 | 0.7694 |
| 0.5792 | 4.19 | 800 | 0.5368 | 0.5250 |
| 0.3611 | 6.28 | 1200 | 0.4796 | 0.4718 |
| 0.2742 | 8.38 | 1600 | 0.5308 | 0.4764 |
| 0.201 | 10.47 | 2000 | 0.5885 | 0.4723 |
| 0.164 | 12.57 | 2400 | 0.5595 | 0.4750 |
| 0.1374 | 14.66 | 2800 | 0.5836 | 0.4366 |
| 0.1138 | 16.75 | 3200 | 0.6110 | 0.4628 |
| 0.0991 | 18.85 | 3600 | 0.6179 | 0.4174 |
| 0.0837 | 20.94 | 4000 | 0.6681 | 0.4170 |
| 0.0722 | 23.04 | 4400 | 0.6665 | 0.4103 |
| 0.0576 | 25.13 | 4800 | 0.7538 | 0.4068 |
| 0.052 | 27.23 | 5200 | 0.6808 | 0.3844 |
| 0.0449 | 29.32 | 5600 | 0.6768 | 0.3755 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
