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wav2vec2-large-xls-r-300m-korean-e
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: 0.6640
- Cer: 0.1518
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: 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: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
5.3827 | 3.25 | 500 | 3.5391 | 1.0 |
3.0633 | 6.49 | 1000 | 2.9854 | 0.8759 |
1.2095 | 9.74 | 1500 | 0.8384 | 0.2103 |
0.5499 | 12.99 | 2000 | 0.6733 | 0.1689 |
0.3815 | 16.23 | 2500 | 0.6778 | 0.1591 |
0.3111 | 19.48 | 3000 | 0.6640 | 0.1518 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.13.0