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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: 0.4796
- Wer: 0.3434
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 |
---|---|---|---|---|
3.4323 | 4.0 | 500 | 1.3259 | 0.9859 |
0.5966 | 8.0 | 1000 | 0.4682 | 0.4442 |
0.2187 | 12.0 | 1500 | 0.4490 | 0.3875 |
0.1274 | 16.0 | 2000 | 0.4595 | 0.3727 |
0.0859 | 20.0 | 2500 | 0.4819 | 0.3683 |
0.0602 | 24.0 | 3000 | 0.4524 | 0.3514 |
0.0449 | 28.0 | 3500 | 0.4796 | 0.3434 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3