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wav2vec2-base-timit-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: 0.4414
- Wer: 0.3578
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: 1000
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.095 | 1.0 | 500 | 0.4785 | 0.3873 |
0.09 | 2.01 | 1000 | 0.5840 | 0.4203 |
0.1059 | 3.01 | 1500 | 0.5674 | 0.4073 |
0.0857 | 4.02 | 2000 | 0.5026 | 0.3797 |
0.0719 | 5.02 | 2500 | 0.4981 | 0.3783 |
0.0565 | 6.02 | 3000 | 0.4595 | 0.3721 |
0.0463 | 7.03 | 3500 | 0.4578 | 0.3629 |
0.0363 | 8.03 | 4000 | 0.4832 | 0.3669 |
0.0444 | 9.04 | 4500 | 0.4414 | 0.3578 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2