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my_final_wav2vec2-urdu-asr-project
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.4680
- Wer: 1.0
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: 4
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.8981 | 1.41 | 200 | 5.5809 | 1.0 |
| 5.254 | 2.82 | 400 | 5.4720 | 1.0 |
| 5.2209 | 4.23 | 600 | 5.4862 | 1.0 |
| 5.256 | 5.63 | 800 | 5.4716 | 1.0 |
| 5.1244 | 7.04 | 1000 | 5.4912 | 1.0 |
| 5.0641 | 8.45 | 1200 | 5.4797 | 1.0 |
| 5.0923 | 9.86 | 1400 | 5.5290 | 1.0 |
| 5.0166 | 11.27 | 1600 | 5.4722 | 1.0 |
| 5.1251 | 12.68 | 1800 | 5.4690 | 1.0 |
| 5.0201 | 14.08 | 2000 | 5.4684 | 1.0 |
| 5.1285 | 15.49 | 2200 | 5.4745 | 1.0 |
| 5.0853 | 16.9 | 2400 | 5.4734 | 1.0 |
| 5.0112 | 18.31 | 2600 | 5.4668 | 1.0 |
| 5.0372 | 19.72 | 2800 | 5.4680 | 1.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
