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wav2vec2-base-timit-demo-colab90
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: 0.6766
- Wer: 0.4479
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: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.0217 | 7.04 | 500 | 3.2571 | 1.0 |
| 1.271 | 14.08 | 1000 | 0.6501 | 0.5874 |
| 0.4143 | 21.13 | 1500 | 0.5943 | 0.5360 |
| 0.2446 | 28.17 | 2000 | 0.6285 | 0.5028 |
| 0.1653 | 35.21 | 2500 | 0.6553 | 0.4992 |
| 0.1295 | 42.25 | 3000 | 0.6735 | 0.4705 |
| 0.1033 | 49.3 | 3500 | 0.6792 | 0.4539 |
| 0.0886 | 56.34 | 4000 | 0.6766 | 0.4479 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
