--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-large-xls-r-300m-sinhala results: [] --- # wav2vec2-large-xls-r-300m-sinhala 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: - eval_loss: 5.4599 - eval_wer: 1.0 - eval_runtime: 185.9221 - eval_samples_per_second: 6.729 - eval_steps_per_second: 0.844 - epoch: 2.53 - step: 100 ## 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: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 30 ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu118 - Datasets 1.18.3 - Tokenizers 0.13.3