hubert-base-libri-demo-feature_extractor_not_frozen_v1_30epochs_weight_decay
This model is a fine-tuned version of facebook/hubert-base-ls960 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8346
- Wer: 1.0000
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: 0.00015
- train_batch_size: 64
- 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: 3000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
4.3231 | 1.12 | 500 | 3.4739 | 1.0000 |
2.879 | 2.24 | 1000 | 3.5811 | 1.0000 |
2.8709 | 3.36 | 1500 | 3.9899 | 1.0000 |
2.871 | 4.48 | 2000 | 4.0805 | 1.0000 |
2.8706 | 5.61 | 2500 | 3.8464 | 1.0000 |
2.8672 | 6.73 | 3000 | 3.7938 | 1.0000 |
2.8709 | 7.85 | 3500 | 3.8578 | 1.0000 |
2.8708 | 8.97 | 4000 | 3.7691 | 1.0000 |
2.8678 | 10.09 | 4500 | 3.8619 | 1.0000 |
2.8662 | 11.21 | 5000 | 3.8804 | 1.0000 |
2.8664 | 12.33 | 5500 | 3.8169 | 1.0000 |
2.8662 | 13.45 | 6000 | 3.6758 | 1.0000 |
2.8654 | 14.57 | 6500 | 3.7314 | 1.0000 |
2.8658 | 15.7 | 7000 | 3.8113 | 1.0000 |
2.8647 | 16.82 | 7500 | 3.8938 | 1.0000 |
2.8653 | 17.94 | 8000 | 3.9268 | 1.0000 |
2.8652 | 19.06 | 8500 | 3.9288 | 1.0000 |
2.8649 | 20.18 | 9000 | 3.9164 | 1.0000 |
2.8654 | 21.3 | 9500 | 3.8781 | 1.0000 |
2.8652 | 22.42 | 10000 | 3.8628 | 1.0000 |
2.8642 | 23.54 | 10500 | 3.8646 | 1.0000 |
2.8655 | 24.66 | 11000 | 3.8467 | 1.0000 |
2.8658 | 25.78 | 11500 | 3.8157 | 1.0000 |
2.8647 | 26.91 | 12000 | 3.8274 | 1.0000 |
2.8648 | 28.03 | 12500 | 3.8022 | 1.0000 |
2.8644 | 29.15 | 13000 | 3.8346 | 1.0000 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3
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