--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-large-xls-r-300m-korean-g results: [] --- # wav2vec2-large-xls-r-300m-korean-g This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9226 - Cer: 0.1638 ## 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: 30 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 4.8333 | 3.25 | 500 | 3.4624 | 0.9560 | | 1.243 | 6.49 | 1000 | 1.0049 | 0.2488 | | 0.3657 | 9.74 | 1500 | 0.8749 | 0.2087 | | 0.2104 | 12.99 | 2000 | 0.8799 | 0.1909 | | 0.1508 | 16.23 | 2500 | 0.9321 | 0.1845 | | 0.1245 | 19.48 | 3000 | 0.8778 | 0.1744 | | 0.1048 | 22.73 | 3500 | 0.9793 | 0.1808 | | 0.0922 | 25.97 | 4000 | 0.9464 | 0.1697 | | 0.0801 | 29.22 | 4500 | 0.9226 | 0.1638 | ### Framework versions - Transformers 4.17.0 - Pytorch 1.10.0+cu113 - Datasets 1.18.3 - Tokenizers 0.13.0