wav2vec2-large-xlsr-53_full_train_full_train
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8369
- Wer: 0.5052
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.533 | 1.35 | 1000 | 0.3547 | 0.3483 |
| 0.4531 | 2.69 | 2000 | 0.8369 | 0.5052 |
Framework versions
- Transformers 4.19.0
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1