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: 0.4812
- Wer: 0.3557
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 |
|---|---|---|---|---|
| 3.4668 | 4.0 | 500 | 1.3753 | 0.9895 |
| 0.6126 | 8.0 | 1000 | 0.4809 | 0.4350 |
| 0.2281 | 12.0 | 1500 | 0.4407 | 0.4033 |
| 0.1355 | 16.0 | 2000 | 0.4590 | 0.3765 |
| 0.0923 | 20.0 | 2500 | 0.4754 | 0.3707 |
| 0.0654 | 24.0 | 3000 | 0.4719 | 0.3557 |
| 0.0489 | 28.0 | 3500 | 0.4812 | 0.3557 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
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