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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: 0.4635
- Wer: 0.3357
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 |
---|---|---|---|---|
3.6808 | 4.0 | 500 | 1.5478 | 1.0481 |
0.835 | 8.0 | 1000 | 0.4611 | 0.4703 |
0.3013 | 12.0 | 1500 | 0.4327 | 0.3887 |
0.1741 | 16.0 | 2000 | 0.4073 | 0.3677 |
0.1309 | 20.0 | 2500 | 0.4306 | 0.3595 |
0.1097 | 24.0 | 3000 | 0.4318 | 0.3475 |
0.0825 | 28.0 | 3500 | 0.4635 | 0.3357 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3