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wav2vec2-base-klay-demo-google-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: 0.0060
- Wer: 0.1791
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: 8
- 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: 300
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
No log | 15.0 | 300 | 2.4020 | 0.9889 |
2.4596 | 30.0 | 600 | 1.3773 | 0.9833 |
2.4596 | 45.0 | 900 | 0.5241 | 0.7253 |
1.1148 | 60.0 | 1200 | 0.2260 | 0.4472 |
0.3637 | 75.0 | 1500 | 0.1474 | 0.3682 |
0.3637 | 90.0 | 1800 | 0.0742 | 0.2848 |
0.1874 | 105.0 | 2100 | 0.0563 | 0.2681 |
0.1874 | 120.0 | 2400 | 0.0535 | 0.2436 |
0.1273 | 135.0 | 2700 | 0.0335 | 0.2258 |
0.0914 | 150.0 | 3000 | 0.0336 | 0.2214 |
0.0914 | 165.0 | 3300 | 0.0323 | 0.2136 |
0.0733 | 180.0 | 3600 | 0.0225 | 0.2069 |
0.0733 | 195.0 | 3900 | 0.0953 | 0.2314 |
0.0678 | 210.0 | 4200 | 0.0122 | 0.1902 |
0.0428 | 225.0 | 4500 | 0.0104 | 0.1869 |
0.0428 | 240.0 | 4800 | 0.0120 | 0.1791 |
0.0291 | 255.0 | 5100 | 0.0110 | 0.1835 |
0.0291 | 270.0 | 5400 | 0.0062 | 0.1802 |
0.0235 | 285.0 | 5700 | 0.0061 | 0.1802 |
0.0186 | 300.0 | 6000 | 0.0060 | 0.1791 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1