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vtt-indonesia
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: 0.3472
- Wer: 0.3582
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
---|---|---|---|---|
3.7612 | 3.23 | 400 | 0.6405 | 0.6714 |
0.4143 | 6.45 | 800 | 0.3772 | 0.4974 |
0.2068 | 9.68 | 1200 | 0.3877 | 0.4442 |
0.1436 | 12.9 | 1600 | 0.3785 | 0.4212 |
0.1133 | 16.13 | 2000 | 0.3944 | 0.4144 |
0.09 | 19.35 | 2400 | 0.3695 | 0.3925 |
0.0705 | 22.58 | 2800 | 0.3706 | 0.3846 |
0.057 | 25.81 | 3200 | 0.3720 | 0.3725 |
0.048 | 29.03 | 3600 | 0.3472 | 0.3582 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3