--- license: apache-2.0 tags: - generated_from_trainer base_model: facebook/wav2vec2-xls-r-300m datasets: - make_dataset 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 make_dataset dataset. It achieves the following results on the evaluation set: - Loss: 4.6886 - Cer: 1.0 ## 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: 16 - eval_batch_size: 16 - 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: 500 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | |:-------------:|:-----:|:----:|:---------------:|:---:| | 17.7096 | 500.0 | 500 | 4.6886 | 1.0 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.0.1+cu118 - Datasets 2.18.0 - Tokenizers 0.15.2