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korean-aihub-learning-2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9945
- Wer: 0.9533
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.99 | 35 | 46.3840 | 1.0 |
| No log | 1.99 | 70 | 26.0949 | 1.0 |
| 37.1581 | 2.99 | 105 | 19.0168 | 1.0 |
| 37.1581 | 3.99 | 140 | 13.3294 | 1.0 |
| 37.1581 | 4.99 | 175 | 7.9410 | 1.0 |
| 12.5054 | 5.99 | 210 | 5.0323 | 1.0 |
| 12.5054 | 6.99 | 245 | 4.6242 | 1.0 |
| 12.5054 | 7.99 | 280 | 4.6206 | 1.0 |
| 4.8394 | 8.99 | 315 | 4.5820 | 1.0 |
| 4.8394 | 9.99 | 350 | 4.5629 | 1.0 |
| 4.8394 | 10.99 | 385 | 4.5385 | 1.0 |
| 4.6489 | 11.99 | 420 | 4.5627 | 1.0 |
| 4.6489 | 12.99 | 455 | 4.5276 | 1.0 |
| 4.6489 | 13.99 | 490 | 4.5292 | 1.0 |
| 4.5654 | 14.99 | 525 | 4.5179 | 1.0 |
| 4.5654 | 15.99 | 560 | 4.4928 | 1.0 |
| 4.5654 | 16.99 | 595 | 4.4791 | 1.0 |
| 4.521 | 17.99 | 630 | 4.4649 | 1.0 |
| 4.521 | 18.99 | 665 | 4.4588 | 1.0 |
| 4.3529 | 19.99 | 700 | 4.3632 | 1.0 |
| 4.3529 | 20.99 | 735 | 4.2990 | 1.0 |
| 4.3529 | 21.99 | 770 | 4.2326 | 0.9988 |
| 4.1301 | 22.99 | 805 | 4.0843 | 1.0 |
| 4.1301 | 23.99 | 840 | 3.9784 | 0.9975 |
| 4.1301 | 24.99 | 875 | 3.7876 | 1.0 |
| 3.7047 | 25.99 | 910 | 3.6109 | 0.9988 |
| 3.7047 | 26.99 | 945 | 3.4049 | 0.9828 |
| 3.7047 | 27.99 | 980 | 3.1913 | 0.9606 |
| 3.006 | 28.99 | 1015 | 3.0567 | 0.9508 |
| 3.006 | 29.99 | 1050 | 2.9945 | 0.9533 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
