wav2vec2-xls-r-300m_phoneme-timit_english_timit-4k_001
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the timit dataset. It achieves the following results on the evaluation set:
- Loss: 0.3668
- Per: 0.1149
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Per |
---|---|---|---|---|
6.9932 | 3.46 | 1000 | 3.8704 | 0.9878 |
3.2566 | 6.92 | 2000 | 1.0333 | 0.2395 |
0.8914 | 10.38 | 3000 | 0.4078 | 0.1547 |
0.5663 | 13.84 | 4000 | 0.3696 | 0.1694 |
0.4799 | 17.3 | 5000 | 0.3688 | 0.1584 |
0.4216 | 20.76 | 6000 | 0.3668 | 0.1524 |
0.367 | 24.22 | 7000 | 0.3715 | 0.1529 |
0.3187 | 27.68 | 8000 | 0.3840 | 0.1667 |
0.289 | 31.14 | 9000 | 0.3911 | 0.1608 |
0.262 | 34.6 | 10000 | 0.3987 | 0.1593 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.13.3
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