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wav2vec2-large-xls-r-300m-vi-75p
This model is a fine-tuned version of leviethoang/wav2vec2-large-xls-r-300m-vi-25p on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.7880
- Wer: 0.4324
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 |
|---|---|---|---|---|
| 0.962 | 1.68 | 400 | 1.2033 | 0.4428 |
| 0.7977 | 3.36 | 800 | 1.3410 | 0.4731 |
| 0.644 | 5.04 | 1200 | 1.4682 | 0.4796 |
| 0.5156 | 6.72 | 1600 | 1.4940 | 0.4826 |
| 0.4531 | 8.4 | 2000 | 1.5071 | 0.4734 |
| 0.3882 | 10.08 | 2400 | 1.5408 | 0.4694 |
| 0.3469 | 11.76 | 2800 | 1.5975 | 0.4697 |
| 0.3096 | 13.45 | 3200 | 1.7120 | 0.4728 |
| 0.2825 | 15.13 | 3600 | 1.7052 | 0.4632 |
| 0.2607 | 16.81 | 4000 | 1.6870 | 0.4575 |
| 0.2301 | 18.49 | 4400 | 1.7205 | 0.4653 |
| 0.2096 | 20.17 | 4800 | 1.7352 | 0.4504 |
| 0.1915 | 21.85 | 5200 | 1.7948 | 0.4465 |
| 0.1685 | 23.53 | 5600 | 1.7994 | 0.4400 |
| 0.1543 | 25.21 | 6000 | 1.7613 | 0.4435 |
| 0.1378 | 26.89 | 6400 | 1.8300 | 0.4365 |
| 0.1278 | 28.57 | 6800 | 1.7880 | 0.4324 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
