metadata
model-index:
- name: wav2vec2-large-xlsr-arabic-common_voice-10_epochs
wav2vec2-large-xlsr-arabic-common_voice-10_epochs
This model was trained from scratch on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3581
- Wer: 0.4555
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_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.1701 | 0.9 | 400 | 3.1599 | 1.0 |
| 0.8933 | 1.8 | 800 | 0.7198 | 0.7877 |
| 0.5849 | 2.7 | 1200 | 0.5046 | 0.6253 |
| 0.3858 | 3.6 | 1600 | 0.4247 | 0.5561 |
| 0.3083 | 4.49 | 2000 | 0.4026 | 0.5251 |
| 0.2556 | 5.39 | 2400 | 0.4010 | 0.5051 |
| 0.2221 | 6.29 | 2800 | 0.3765 | 0.4861 |
| 0.2026 | 7.19 | 3200 | 0.3652 | 0.4794 |
| 0.1996 | 8.09 | 3600 | 0.3627 | 0.4660 |
| 0.1755 | 8.99 | 4000 | 0.3582 | 0.4619 |
| 0.1697 | 9.89 | 4400 | 0.3581 | 0.4555 |
Framework versions
- Transformers 4.6.0
- Pytorch 1.8.1+cu102
- Datasets 1.6.2
- Tokenizers 0.10.2