wav2vec2-large-xlsr-53_toy_train_fast_masked_augment_random_noise_slow_fast
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: 0.4007
- Wer: 0.3785
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0535 | 1.2 | 500 | 3.3994 | 0.9954 |
| 1.1495 | 2.4 | 1000 | 0.6490 | 0.7155 |
| 0.7148 | 3.6 | 1500 | 0.3812 | 0.4690 |
| 0.5305 | 4.8 | 2000 | 0.3529 | 0.4373 |
| 0.475 | 6.0 | 2500 | 0.3616 | 0.4123 |
| 0.3772 | 7.19 | 3000 | 0.3823 | 0.4074 |
| 0.3632 | 8.39 | 3500 | 0.3665 | 0.3929 |
| 0.3579 | 9.59 | 4000 | 0.3838 | 0.3917 |
| 0.3386 | 10.79 | 4500 | 0.3888 | 0.3839 |
| 0.3193 | 11.99 | 5000 | 0.3872 | 0.3757 |
| 0.2976 | 13.19 | 5500 | 0.3986 | 0.3785 |
| 0.2915 | 14.39 | 6000 | 0.4007 | 0.3785 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.1.0
- Tokenizers 0.12.1