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english-filipino-wav2vec2-l-xls-r-test-02
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: 0.4561
- Wer: 0.2632
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: 0.0003
- 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: 40
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
3.1707 | 2.09 | 400 | 0.8006 | 0.8224 |
0.4801 | 4.19 | 800 | 0.3363 | 0.4329 |
0.2541 | 6.28 | 1200 | 0.3365 | 0.3676 |
0.1851 | 8.38 | 1600 | 0.3485 | 0.3739 |
0.1408 | 10.47 | 2000 | 0.3628 | 0.3420 |
0.1098 | 12.57 | 2400 | 0.3979 | 0.3277 |
0.1019 | 14.66 | 2800 | 0.4031 | 0.2896 |
0.0887 | 16.75 | 3200 | 0.3977 | 0.3024 |
0.0798 | 18.85 | 3600 | 0.3959 | 0.3129 |
0.0671 | 20.94 | 4000 | 0.4489 | 0.3241 |
0.0633 | 23.04 | 4400 | 0.4455 | 0.3026 |
0.055 | 25.13 | 4800 | 0.4668 | 0.2910 |
0.0523 | 27.23 | 5200 | 0.4670 | 0.2960 |
0.0468 | 29.32 | 5600 | 0.4536 | 0.2781 |
0.0392 | 31.41 | 6000 | 0.4612 | 0.2860 |
0.0381 | 33.51 | 6400 | 0.4651 | 0.2841 |
0.034 | 35.6 | 6800 | 0.4723 | 0.2716 |
0.0315 | 37.7 | 7200 | 0.4546 | 0.2642 |
0.0294 | 39.79 | 7600 | 0.4561 | 0.2632 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3