wav2vec2-xls-r-dutch-3-lr3e5-linear-earlystop-fp16-gradckpt
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: 0.3769
- Wer: 0.3636
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 |
|---|---|---|---|---|
| 2.8124 | 1.64 | 300 | 2.7889 | 0.9992 |
| 1.0244 | 3.28 | 600 | 0.6641 | 0.5298 |
| 0.4849 | 4.92 | 900 | 0.4695 | 0.4266 |
| 0.6033 | 6.56 | 1200 | 0.4258 | 0.4115 |
| 0.5012 | 8.2 | 1500 | 0.4096 | 0.3864 |
| 0.7023 | 9.84 | 1800 | 0.3921 | 0.3745 |
| 0.3893 | 11.48 | 2100 | 0.3756 | 0.3720 |
| 0.3689 | 13.11 | 2400 | 0.3781 | 0.3660 |
| 0.4688 | 14.75 | 2700 | 0.3769 | 0.3636 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.7.0+cu126
- Datasets 4.0.0
- Tokenizers 0.15.2
- Downloads last month
- 1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for golesheed/wav2vec2-xls-r-dutch-3-lr3e5-linear-earlystop-fp16-gradckpt
Base model
facebook/wav2vec2-xls-r-1b