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hubert-base-timit-demo-colab
This model is a fine-tuned version of facebook/hubert-large-ls960-ft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1092
- Wer: 0.1728
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 |
|---|---|---|---|---|
| 5.4664 | 4.0 | 500 | 2.3026 | 0.9866 |
| 0.8171 | 8.0 | 1000 | 0.0980 | 0.1885 |
| 0.2983 | 12.0 | 1500 | 0.0943 | 0.1750 |
| 0.1769 | 16.0 | 2000 | 0.0990 | 0.1737 |
| 0.1823 | 20.0 | 2500 | 0.1068 | 0.1757 |
| 0.0761 | 24.0 | 3000 | 0.1041 | 0.1719 |
| 0.0993 | 28.0 | 3500 | 0.1092 | 0.1728 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
