wav2vec2-large-xls-r-300m-ur-BKK-11
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9138
- Wer: 0.3996
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4403 | 1.33 | 64 | 0.8538 | 0.3734 |
| 0.34 | 2.66 | 128 | 0.9138 | 0.3996 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.10.1
- Tokenizers 0.13.2