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wav2vec2-large-xls-r-300m-vi-25p
This model was trained from scratch on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.8293
- Wer: 0.4109
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 |
|---|---|---|---|---|
| 0.9542 | 1.31 | 400 | 1.4443 | 0.5703 |
| 1.276 | 2.62 | 800 | 1.4606 | 0.5736 |
| 1.1311 | 3.93 | 1200 | 1.4552 | 0.5186 |
| 0.9519 | 5.25 | 1600 | 1.4477 | 0.5300 |
| 0.8293 | 6.56 | 2000 | 1.4166 | 0.5097 |
| 0.7555 | 7.87 | 2400 | 1.4100 | 0.4906 |
| 0.6724 | 9.18 | 2800 | 1.4982 | 0.4880 |
| 0.6038 | 10.49 | 3200 | 1.4524 | 0.4945 |
| 0.5338 | 11.8 | 3600 | 1.4995 | 0.4798 |
| 0.4988 | 13.11 | 4000 | 1.6715 | 0.4653 |
| 0.461 | 14.43 | 4400 | 1.5699 | 0.4552 |
| 0.4154 | 15.74 | 4800 | 1.5762 | 0.4557 |
| 0.3822 | 17.05 | 5200 | 1.5978 | 0.4471 |
| 0.3466 | 18.36 | 5600 | 1.6579 | 0.4512 |
| 0.3226 | 19.67 | 6000 | 1.6825 | 0.4378 |
| 0.2885 | 20.98 | 6400 | 1.7376 | 0.4421 |
| 0.2788 | 22.29 | 6800 | 1.7150 | 0.4300 |
| 0.249 | 23.61 | 7200 | 1.7073 | 0.4263 |
| 0.2317 | 24.92 | 7600 | 1.7349 | 0.4200 |
| 0.2171 | 26.23 | 8000 | 1.7419 | 0.4186 |
| 0.1963 | 27.54 | 8400 | 1.8438 | 0.4144 |
| 0.1906 | 28.85 | 8800 | 1.8293 | 0.4109 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
