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wav2vec2-large-xlsr-53_toy_train_data_augment_0.1
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: 0.4658
- Wer: 0.5037
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: 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: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.447 | 1.05 | 250 | 3.3799 | 1.0 |
| 3.089 | 2.1 | 500 | 3.4868 | 1.0 |
| 3.063 | 3.15 | 750 | 3.3155 | 1.0 |
| 2.4008 | 4.2 | 1000 | 1.2934 | 0.8919 |
| 1.618 | 5.25 | 1250 | 0.7847 | 0.7338 |
| 1.3038 | 6.3 | 1500 | 0.6459 | 0.6712 |
| 1.2074 | 7.35 | 1750 | 0.5705 | 0.6269 |
| 1.1062 | 8.4 | 2000 | 0.5267 | 0.5843 |
| 1.026 | 9.45 | 2250 | 0.5108 | 0.5683 |
| 0.9505 | 10.5 | 2500 | 0.5066 | 0.5568 |
| 0.893 | 11.55 | 2750 | 0.5161 | 0.5532 |
| 0.8535 | 12.6 | 3000 | 0.4994 | 0.5341 |
| 0.8462 | 13.65 | 3250 | 0.4626 | 0.5262 |
| 0.8334 | 14.7 | 3500 | 0.4593 | 0.5197 |
| 0.842 | 15.75 | 3750 | 0.4651 | 0.5126 |
| 0.7678 | 16.81 | 4000 | 0.4687 | 0.5120 |
| 0.7873 | 17.86 | 4250 | 0.4716 | 0.5070 |
| 0.7486 | 18.91 | 4500 | 0.4657 | 0.5033 |
| 0.7073 | 19.96 | 4750 | 0.4658 | 0.5037 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6
