wav2vec2-large-xls-r-300m-korean_senior-colab
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: 1.3662
- Cer: 0.3521
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 23.3703 | 0.13 | 200 | 4.6540 | 1.0 |
| 4.5902 | 0.26 | 400 | 4.6068 | 1.0 |
| 4.5584 | 0.39 | 600 | 4.6189 | 1.0 |
| 4.5187 | 0.52 | 800 | 4.5712 | 1.0 |
| 4.4877 | 0.64 | 1000 | 4.6354 | 1.0 |
| 4.4415 | 0.77 | 1200 | 4.4681 | 1.0 |
| 4.2243 | 0.9 | 1400 | 4.0606 | 0.8462 |
| 3.4216 | 1.03 | 1600 | 3.0853 | 0.7218 |
| 2.7586 | 1.16 | 1800 | 2.6957 | 0.6083 |
| 2.355 | 1.29 | 2000 | 2.4372 | 0.5711 |
| 2.1589 | 1.42 | 2200 | 2.2552 | 0.5251 |
| 2.0473 | 1.55 | 2400 | 2.1381 | 0.5227 |
| 1.8895 | 1.68 | 2600 | 1.9748 | 0.4967 |
| 1.7995 | 1.81 | 2800 | 2.0369 | 0.4985 |
| 1.754 | 1.93 | 3000 | 1.8281 | 0.4578 |
| 1.6027 | 2.06 | 3200 | 1.8280 | 0.4539 |
| 1.5043 | 2.19 | 3400 | 1.7238 | 0.4285 |
| 1.4397 | 2.32 | 3600 | 1.6137 | 0.4171 |
| 1.3416 | 2.45 | 3800 | 1.5148 | 0.3874 |
| 1.2632 | 2.58 | 4000 | 1.5120 | 0.3840 |
| 1.204 | 2.71 | 4200 | 1.4443 | 0.3741 |
| 1.1655 | 2.84 | 4400 | 1.3976 | 0.3617 |
| 1.1657 | 2.97 | 4600 | 1.3662 | 0.3521 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0