wav2vec2-xlsr-53-ft-btb-cv-cy
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4767
- Wer: 0.3664
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
4.6698 | 0.0854 | 500 | 2.0702 | 0.9782 |
1.2622 | 0.1709 | 1000 | 1.0957 | 0.7358 |
0.9896 | 0.2563 | 1500 | 0.8654 | 0.6256 |
0.9017 | 0.3417 | 2000 | 0.8234 | 0.6128 |
0.8293 | 0.4271 | 2500 | 0.7721 | 0.5560 |
0.776 | 0.5126 | 3000 | 0.6992 | 0.5038 |
0.7134 | 0.5980 | 3500 | 0.6584 | 0.4884 |
0.6987 | 0.6834 | 4000 | 0.6166 | 0.4665 |
0.6662 | 0.7688 | 4500 | 0.5888 | 0.4504 |
0.6495 | 0.8543 | 5000 | 0.5592 | 0.4298 |
0.6107 | 0.9397 | 5500 | 0.5544 | 0.4415 |
0.5871 | 1.0251 | 6000 | 0.5381 | 0.4135 |
0.5041 | 1.1105 | 6500 | 0.5110 | 0.4029 |
0.5052 | 1.1960 | 7000 | 0.4994 | 0.3825 |
0.4722 | 1.2814 | 7500 | 0.4849 | 0.3716 |
0.4761 | 1.3668 | 8000 | 0.4767 | 0.3664 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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