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wav2vec2-base-timit-demo-colab_3
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: 3.1942
- Wer: 1.0
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: 0.0003
- train_batch_size: 16
- 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 |
---|---|---|---|---|
4.2975 | 3.52 | 500 | 3.1771 | 1.0 |
3.1468 | 7.04 | 1000 | 3.1917 | 1.0 |
3.147 | 10.56 | 1500 | 3.1784 | 1.0 |
3.1467 | 14.08 | 2000 | 3.1850 | 1.0 |
3.1446 | 17.61 | 2500 | 3.2022 | 1.0 |
3.1445 | 21.13 | 3000 | 3.2196 | 1.0 |
3.1445 | 24.65 | 3500 | 3.2003 | 1.0 |
3.1443 | 28.17 | 4000 | 3.1942 | 1.0 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3