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wav2vec2-base-cv
This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.1562
- Wer: 0.3804
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: 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
4.563 | 3.18 | 500 | 2.9826 | 1.0 |
2.0012 | 6.37 | 1000 | 0.9528 | 0.5354 |
0.4841 | 9.55 | 1500 | 0.8838 | 0.4325 |
0.2748 | 12.74 | 2000 | 0.9437 | 0.4130 |
0.1881 | 15.92 | 2500 | 0.9603 | 0.4005 |
0.1426 | 19.11 | 3000 | 1.0605 | 0.3955 |
0.1134 | 22.29 | 3500 | 1.0733 | 0.3897 |
0.0963 | 25.48 | 4000 | 1.1387 | 0.3835 |
0.0829 | 28.66 | 4500 | 1.1562 | 0.3804 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3