wav2vec2-large-xls-r-300m-vi-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 3.2659
- Wer: 0.7160
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 |
|---|---|---|---|---|
| 5.3934 | 3.45 | 400 | 3.4806 | 1.0 |
| 2.3392 | 6.9 | 800 | 2.1210 | 0.9011 |
| 1.1786 | 10.34 | 1200 | 2.4091 | 0.7807 |
| 0.779 | 13.79 | 1600 | 2.7128 | 0.7621 |
| 0.5645 | 17.24 | 2000 | 3.0103 | 0.7428 |
| 0.4329 | 20.69 | 2400 | 3.0804 | 0.7219 |
| 0.3455 | 24.14 | 2800 | 3.1075 | 0.7190 |
| 0.2803 | 27.59 | 3200 | 3.2659 | 0.7160 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
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