wav2vec2-xls-r-dutch-lr3e5-linear-earlystop-fp16-gradckpt-ctczeroinf
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3757
- Wer: 0.3599
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.642 | 1.64 | 300 | 2.3580 | 0.9993 |
| 0.9447 | 3.28 | 600 | 0.5886 | 0.4963 |
| 0.471 | 4.92 | 900 | 0.4715 | 0.4133 |
| 0.5222 | 6.56 | 1200 | 0.4210 | 0.3990 |
| 0.4252 | 8.2 | 1500 | 0.4009 | 0.3750 |
| 0.5923 | 9.84 | 1800 | 0.3878 | 0.3738 |
| 0.343 | 11.48 | 2100 | 0.3724 | 0.3675 |
| 0.3275 | 13.11 | 2400 | 0.3738 | 0.3628 |
| 0.3945 | 14.75 | 2700 | 0.3757 | 0.3599 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.7.0+cu126
- Datasets 4.0.0
- Tokenizers 0.15.2
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Base model
facebook/wav2vec2-xls-r-1b