<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
XLSR_Fine_Tuned_URDU
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8115
- Wer: 0.4815
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: 8
- 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.7221 | 3.25 | 1000 | 3.0131 | 0.9985 |
| 1.6219 | 6.49 | 2000 | 0.9179 | 0.6336 |
| 0.7747 | 9.74 | 3000 | 0.7975 | 0.5804 |
| 0.5796 | 12.99 | 4000 | 0.7820 | 0.5524 |
| 0.4672 | 16.23 | 5000 | 0.8220 | 0.5317 |
| 0.4002 | 19.48 | 6000 | 0.8080 | 0.5107 |
| 0.3587 | 22.73 | 7000 | 0.7889 | 0.4926 |
| 0.3192 | 25.97 | 8000 | 0.8137 | 0.4875 |
| 0.3 | 29.22 | 9000 | 0.8115 | 0.4815 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
