Khalsuu/filipino-wav2vec2-l-xls-r-300m-official
automatic speech recognitiontransformerstransformerspytorchtensorboardwav2vec2automatic-speech-recognitiongenerated_from_trainerapache-2.0
HuggingFace869.5K
filipino-wav2vec2-l-xls-r-300m-official
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the filipino_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4672
- Wer: 0.2922
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.3671 | 2.09 | 400 | 0.5584 | 0.5987 |
| 0.48 | 4.19 | 800 | 0.4244 | 0.4195 |
| 0.2796 | 6.28 | 1200 | 0.3742 | 0.3765 |
| 0.1916 | 8.38 | 1600 | 0.4291 | 0.3667 |
| 0.1463 | 10.47 | 2000 | 0.3745 | 0.3415 |
| 0.1165 | 12.57 | 2400 | 0.4472 | 0.3407 |
| 0.0955 | 14.66 | 2800 | 0.4269 | 0.3290 |
| 0.0823 | 16.75 | 3200 | 0.4608 | 0.3475 |
| 0.0709 | 18.85 | 3600 | 0.4706 | 0.3281 |
| 0.0603 | 20.94 | 4000 | 0.4380 | 0.3183 |
| 0.0527 | 23.04 | 4400 | 0.4473 | 0.3067 |
| 0.0449 | 25.13 | 4800 | 0.4550 | 0.3029 |
| 0.041 | 27.23 | 5200 | 0.4671 | 0.3020 |
| 0.0358 | 29.32 | 5600 | 0.4672 | 0.2922 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3