wav2vec2-large-xls-r-1b-Indonesian
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.9550
- Wer: 0.4551
- Cer: 0.1643
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.663 | 7.69 | 200 | 0.7898 | 0.6039 | 0.1848 |
| 0.7424 | 15.38 | 400 | 1.0215 | 0.5615 | 0.1924 |
| 0.4494 | 23.08 | 600 | 1.0901 | 0.5249 | 0.1932 |
| 0.5075 | 30.77 | 800 | 1.1013 | 0.5079 | 0.1935 |
| 0.4671 | 38.46 | 1000 | 1.1034 | 0.4916 | 0.1827 |
| 0.1928 | 46.15 | 1200 | 0.9550 | 0.4551 | 0.1643 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0