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: 0.4001
- Wer: 0.3838
Model description
More information needed
Intended uses & limitations
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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: 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: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
3.5062 | 2.01 | 500 | 1.6508 | 1.0285 |
0.7996 | 4.02 | 1000 | 0.5195 | 0.5078 |
0.3369 | 6.02 | 1500 | 0.4404 | 0.4290 |
0.1915 | 8.03 | 2000 | 0.4001 | 0.3838 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 1.18.3
- Tokenizers 0.15.0
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