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wav2vec2-large-xls-r-300m-greek
This model was trained from scratch on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4823
- Wer: 0.3338
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: 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
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0106 | 1.72 | 200 | 0.5519 | 0.3537 |
| 0.0249 | 3.45 | 400 | 0.5174 | 0.3465 |
| 0.0206 | 5.17 | 600 | 0.4721 | 0.3323 |
| 0.0221 | 6.89 | 800 | 0.4652 | 0.3373 |
| 0.0204 | 8.62 | 1000 | 0.4883 | 0.3389 |
| 0.0192 | 10.34 | 1200 | 0.4785 | 0.3389 |
| 0.0186 | 12.07 | 1400 | 0.4789 | 0.3378 |
| 0.0172 | 13.79 | 1600 | 0.4915 | 0.3347 |
| 0.0184 | 15.52 | 1800 | 0.4759 | 0.3440 |
| 0.0168 | 17.24 | 2000 | 0.4891 | 0.3371 |
| 0.0155 | 18.96 | 2200 | 0.4928 | 0.3394 |
| 0.0146 | 20.69 | 2400 | 0.4834 | 0.3357 |
| 0.0146 | 22.41 | 2600 | 0.4814 | 0.3362 |
| 0.0151 | 24.14 | 2800 | 0.4791 | 0.3345 |
| 0.0136 | 25.86 | 3000 | 0.4825 | 0.3356 |
| 0.0136 | 27.58 | 3200 | 0.4850 | 0.3351 |
| 0.0127 | 29.31 | 3400 | 0.4823 | 0.3338 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
