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wav2vec2-base-common-voice-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: 1.1446
- Wer: 0.6911
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
No log | 1.26 | 300 | 3.0670 | 1.0 |
3.3475 | 2.52 | 600 | 2.5530 | 1.0 |
3.3475 | 3.78 | 900 | 1.4598 | 0.9555 |
2.0348 | 5.04 | 1200 | 1.2189 | 0.8797 |
1.0817 | 6.3 | 1500 | 1.1242 | 0.8268 |
1.0817 | 7.56 | 1800 | 1.0764 | 0.7957 |
0.7973 | 8.82 | 2100 | 1.1023 | 0.7863 |
0.7973 | 10.08 | 2400 | 1.0583 | 0.7785 |
0.6514 | 11.34 | 2700 | 1.0963 | 0.7512 |
0.5878 | 12.61 | 3000 | 1.1200 | 0.7494 |
0.5878 | 13.87 | 3300 | 1.0396 | 0.7402 |
0.484 | 15.13 | 3600 | 1.1407 | 0.7340 |
0.484 | 16.39 | 3900 | 1.1534 | 0.7584 |
0.4384 | 17.65 | 4200 | 1.0973 | 0.7236 |
0.3966 | 18.91 | 4500 | 1.0623 | 0.7358 |
0.3966 | 20.17 | 4800 | 1.1655 | 0.7112 |
0.3408 | 21.43 | 5100 | 1.1825 | 0.7084 |
0.3408 | 22.69 | 5400 | 1.1436 | 0.7029 |
0.3274 | 23.95 | 5700 | 1.1077 | 0.6988 |
0.2948 | 25.21 | 6000 | 1.1454 | 0.7066 |
0.2948 | 26.47 | 6300 | 1.1411 | 0.6956 |
0.2545 | 27.73 | 6600 | 1.0952 | 0.6918 |
0.2545 | 28.99 | 6900 | 1.1446 | 0.6911 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3