xlsr-syntesized-turkish-2-hour-hlr
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1675
- Wer: 0.1901
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.2039 | 1.04 | 100 | 3.4534 | 1.0 |
| 3.1581 | 2.08 | 200 | 3.0148 | 1.0 |
| 2.2036 | 3.12 | 300 | 0.9141 | 0.7416 |
| 0.6325 | 4.17 | 400 | 0.3548 | 0.3585 |
| 0.3945 | 5.21 | 500 | 0.2863 | 0.3056 |
| 0.294 | 6.25 | 600 | 0.2475 | 0.2906 |
| 0.2358 | 7.29 | 700 | 0.2092 | 0.2510 |
| 0.177 | 8.33 | 800 | 0.1983 | 0.2595 |
| 0.1476 | 9.38 | 900 | 0.1856 | 0.2249 |
| 0.1267 | 10.42 | 1000 | 0.1706 | 0.2153 |
| 0.1132 | 11.46 | 1100 | 0.1785 | 0.2320 |
| 0.0979 | 12.5 | 1200 | 0.1779 | 0.2010 |
| 0.0836 | 13.54 | 1300 | 0.1688 | 0.1968 |
| 0.0738 | 14.58 | 1400 | 0.1688 | 0.1948 |
| 0.068 | 15.62 | 1500 | 0.1678 | 0.1915 |
| 0.0636 | 16.67 | 1600 | 0.1683 | 0.1899 |
| 0.0604 | 17.71 | 1700 | 0.1660 | 0.1891 |
| 0.0573 | 18.75 | 1800 | 0.1699 | 0.1903 |
| 0.0548 | 19.79 | 1900 | 0.1675 | 0.1901 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.0.1+cu118
- Datasets 2.9.0
- Tokenizers 0.13.3