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wav2vec2-base-vios-google-colab
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5647
- Wer: 0.4970
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: 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.7292 | 2.0 | 500 | 3.4159 | 1.0 |
| 3.0762 | 4.0 | 1000 | 1.3005 | 0.9615 |
| 0.8812 | 6.0 | 1500 | 0.4664 | 0.4740 |
| 0.5076 | 8.0 | 2000 | 0.4101 | 0.4180 |
| 0.4075 | 10.0 | 2500 | 0.3815 | 0.3802 |
| 0.3724 | 12.0 | 3000 | 0.3785 | 0.3741 |
| 0.3762 | 14.0 | 3500 | 0.4404 | 0.3766 |
| 0.4541 | 16.0 | 4000 | 0.4671 | 0.3822 |
| 0.6391 | 18.0 | 4500 | 0.5643 | 0.4200 |
| 0.7681 | 20.0 | 5000 | 0.6564 | 0.5214 |
| 0.8131 | 22.0 | 5500 | 0.5786 | 0.4934 |
| 0.7448 | 24.0 | 6000 | 0.5561 | 0.4920 |
| 0.7337 | 26.0 | 6500 | 0.5631 | 0.4964 |
| 0.7359 | 28.0 | 7000 | 0.5647 | 0.4968 |
| 0.7397 | 30.0 | 7500 | 0.5647 | 0.4970 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
