english-filipino-wav2vec2-l-xls-r-test-05
Model description
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: 0.4738
- Wer: 0.2684
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.3328 | 2.09 | 400 | 2.2174 | 0.9733 |
| 0.6432 | 4.19 | 800 | 0.3735 | 0.3896 |
| 0.2741 | 6.28 | 1200 | 0.3639 | 0.3425 |
| 0.1877 | 8.38 | 1600 | 0.3506 | 0.3425 |
| 0.1408 | 10.47 | 2000 | 0.3644 | 0.3181 |
| 0.1133 | 12.57 | 2400 | 0.3837 | 0.3047 |
| 0.0953 | 14.66 | 2800 | 0.4415 | 0.3103 |
| 0.0814 | 16.75 | 3200 | 0.3940 | 0.3092 |
| 0.0707 | 18.85 | 3600 | 0.4164 | 0.3013 |
| 0.059 | 20.94 | 4000 | 0.4488 | 0.2983 |
| 0.0545 | 23.04 | 4400 | 0.4803 | 0.3028 |
| 0.0482 | 25.13 | 4800 | 0.4731 | 0.2811 |
| 0.0426 | 27.23 | 5200 | 0.4606 | 0.2757 |
| 0.0395 | 29.32 | 5600 | 0.4738 | 0.2684 |
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
