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english-filipino-wav2vec2-l-xls-r-test-03
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: 0.6932
- Wer: 0.3676
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: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.3398 | 2.09 | 400 | 0.5733 | 0.6166 |
| 0.5087 | 4.19 | 800 | 0.5210 | 0.4775 |
| 0.344 | 6.28 | 1200 | 0.5284 | 0.5008 |
| 0.2745 | 8.38 | 1600 | 0.5195 | 0.4457 |
| 0.2153 | 10.47 | 2000 | 0.5820 | 0.4668 |
| 0.1797 | 12.57 | 2400 | 0.4915 | 0.4432 |
| 0.1513 | 14.66 | 2800 | 0.6316 | 0.4513 |
| 0.1355 | 16.75 | 3200 | 0.5328 | 0.4070 |
| 0.1204 | 18.85 | 3600 | 0.5800 | 0.4405 |
| 0.1062 | 20.94 | 4000 | 0.6887 | 0.4532 |
| 0.0931 | 23.04 | 4400 | 0.6184 | 0.4152 |
| 0.0821 | 25.13 | 4800 | 0.7413 | 0.4461 |
| 0.0733 | 27.23 | 5200 | 0.7160 | 0.4549 |
| 0.071 | 29.32 | 5600 | 0.7001 | 0.4048 |
| 0.0577 | 31.41 | 6000 | 0.7839 | 0.4309 |
| 0.051 | 33.51 | 6400 | 0.7764 | 0.4128 |
| 0.046 | 35.6 | 6800 | 0.6753 | 0.3875 |
| 0.0384 | 37.7 | 7200 | 0.7106 | 0.3856 |
| 0.0359 | 39.79 | 7600 | 0.6932 | 0.3676 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
