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wav2vec2-base-common-voice-50p-persian-colab
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: 1.0939
- Wer: 0.6537
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: 7.5e-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0437 | 2.52 | 600 | 3.0170 | 1.0 |
| 2.3667 | 5.04 | 1200 | 2.1575 | 0.9988 |
| 0.9565 | 7.56 | 1800 | 1.0801 | 0.8410 |
| 0.603 | 10.08 | 2400 | 0.9680 | 0.7678 |
| 0.507 | 12.61 | 3000 | 0.9554 | 0.7470 |
| 0.3754 | 15.13 | 3600 | 0.9524 | 0.7157 |
| 0.4267 | 17.65 | 4200 | 0.9290 | 0.6980 |
| 0.3308 | 20.17 | 4800 | 0.9557 | 0.7061 |
| 0.2259 | 22.69 | 5400 | 0.9864 | 0.6830 |
| 0.2486 | 25.21 | 6000 | 1.1086 | 0.6812 |
| 0.1956 | 27.73 | 6600 | 1.0497 | 0.6805 |
| 0.1835 | 30.25 | 7200 | 1.0660 | 0.6596 |
| 0.1926 | 32.77 | 7800 | 1.1274 | 0.6600 |
| 0.2765 | 35.29 | 8400 | 1.0882 | 0.6603 |
| 0.2397 | 37.82 | 9000 | 1.0939 | 0.6537 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
