wav2vec2-base-timit-demo-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: 0.4526
- Wer: 0.3411
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 |
---|---|---|---|---|
3.7503 | 4.0 | 500 | 2.4125 | 1.0006 |
0.9595 | 8.0 | 1000 | 0.4833 | 0.4776 |
0.3018 | 12.0 | 1500 | 0.4333 | 0.4062 |
0.1751 | 16.0 | 2000 | 0.4474 | 0.3697 |
0.1288 | 20.0 | 2500 | 0.4445 | 0.3558 |
0.1073 | 24.0 | 3000 | 0.4695 | 0.3464 |
0.0816 | 28.0 | 3500 | 0.4526 | 0.3411 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
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