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ASCEND_Dataset_Model
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: 3.9199
- Wer: 0.9540
- Cer: 0.9868
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: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 16.9063 | 1.0 | 687 | 4.7768 | 1.0 | 1.0 |
| 5.0252 | 2.0 | 1374 | 4.7004 | 1.0 | 1.0 |
| 4.9378 | 3.0 | 2061 | 4.6715 | 1.0 | 1.0 |
| 5.1468 | 4.0 | 2748 | 4.6605 | 1.0 | 1.0 |
| 4.9353 | 5.0 | 3435 | 4.6470 | 1.0 | 1.0 |
| 4.913 | 6.0 | 4122 | 4.6177 | 1.0 | 1.0 |
| 4.8034 | 7.0 | 4809 | 4.7699 | 1.0 | 1.0 |
| 4.6905 | 8.0 | 5496 | 4.3596 | 1.0 | 1.0 |
| 4.5251 | 9.0 | 6183 | 4.2670 | 1.0 | 1.0 |
| 4.4527 | 10.0 | 6870 | 4.2087 | 1.0 | 1.0 |
| 4.3731 | 11.0 | 7557 | 4.1950 | 0.9982 | 0.9997 |
| 4.3461 | 12.0 | 8244 | 4.2287 | 0.9928 | 0.9988 |
| 4.3224 | 13.0 | 8931 | 4.1565 | 0.9802 | 0.9971 |
| 4.2504 | 14.0 | 9618 | 4.1254 | 0.9619 | 0.9937 |
| 4.2196 | 15.0 | 10305 | 4.0377 | 0.9562 | 0.9913 |
| 4.1911 | 16.0 | 10992 | 4.0576 | 0.9601 | 0.9887 |
| 4.1079 | 17.0 | 11679 | 4.0630 | 0.9544 | 0.9857 |
| 4.1117 | 18.0 | 12366 | 4.0009 | 0.9558 | 0.9880 |
| 4.0324 | 19.0 | 13053 | 3.9245 | 0.9540 | 0.9877 |
| 3.9871 | 20.0 | 13740 | 3.9199 | 0.9540 | 0.9868 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
