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fine-tune-Wav2Vec2-XLS-R-300M-Indonesia-1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_10_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2114
- Wer: 0.1762
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: 0.0001
- train_batch_size: 36
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.9372 | 4.0 | 460 | 2.8359 | 1.0 |
| 2.2755 | 8.0 | 920 | 0.3708 | 0.3983 |
| 0.6614 | 12.0 | 1380 | 0.2433 | 0.2636 |
| 0.5071 | 16.0 | 1840 | 0.2347 | 0.2395 |
| 0.4516 | 20.0 | 2300 | 0.2213 | 0.2185 |
| 0.4206 | 24.0 | 2760 | 0.2222 | 0.2008 |
| 0.3844 | 28.0 | 3220 | 0.2072 | 0.1887 |
| 0.3678 | 32.0 | 3680 | 0.2071 | 0.1886 |
| 0.3565 | 36.0 | 4140 | 0.2015 | 0.1851 |
| 0.3388 | 40.0 | 4600 | 0.2137 | 0.1850 |
| 0.3235 | 44.0 | 5060 | 0.2072 | 0.1791 |
| 0.3173 | 48.0 | 5520 | 0.2095 | 0.1777 |
| 0.3088 | 52.0 | 5980 | 0.2102 | 0.1784 |
| 0.3 | 56.0 | 6440 | 0.2164 | 0.1772 |
| 0.2957 | 60.0 | 6900 | 0.2114 | 0.1762 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
