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wav2vec2-15
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8623
- Wer: 0.8585
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.6808 | 1.37 | 200 | 3.7154 | 1.0 |
| 3.0784 | 2.74 | 400 | 3.1542 | 1.0 |
| 2.8919 | 4.11 | 600 | 2.9918 | 1.0 |
| 2.8317 | 5.48 | 800 | 2.8971 | 1.0 |
| 2.7958 | 6.85 | 1000 | 2.8409 | 1.0 |
| 2.7699 | 8.22 | 1200 | 2.8278 | 1.0 |
| 2.6365 | 9.59 | 1400 | 2.4657 | 1.0 |
| 2.1096 | 10.96 | 1600 | 1.8358 | 0.9988 |
| 1.6485 | 12.33 | 1800 | 1.4525 | 0.9847 |
| 1.3967 | 13.7 | 2000 | 1.2467 | 0.9532 |
| 1.2492 | 15.07 | 2200 | 1.1261 | 0.9376 |
| 1.1543 | 16.44 | 2400 | 1.0654 | 0.9194 |
| 1.0863 | 17.81 | 2600 | 1.0136 | 0.9161 |
| 1.0275 | 19.18 | 2800 | 0.9601 | 0.8827 |
| 0.9854 | 20.55 | 3000 | 0.9435 | 0.8878 |
| 0.9528 | 21.92 | 3200 | 0.9170 | 0.8807 |
| 0.926 | 23.29 | 3400 | 0.9121 | 0.8783 |
| 0.9025 | 24.66 | 3600 | 0.8884 | 0.8646 |
| 0.8909 | 26.03 | 3800 | 0.8836 | 0.8690 |
| 0.8717 | 27.4 | 4000 | 0.8810 | 0.8646 |
| 0.8661 | 28.77 | 4200 | 0.8623 | 0.8585 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
