--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-xls-r-tf-left-right-shuru-word-level results: [] --- # wav2vec2-xls-r-tf-left-right-shuru-word-level 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: 1.0504 - Wer: 0.6859 ## 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: 32 - 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: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 23.217 | 23.81 | 500 | 1.3437 | 0.6859 | | 1.1742 | 47.62 | 1000 | 1.0397 | 0.6859 | | 1.0339 | 71.43 | 1500 | 1.0155 | 0.6859 | | 0.9909 | 95.24 | 2000 | 1.0504 | 0.6859 | ### Framework versions - Transformers 4.11.3 - Pytorch 1.10.0+cu111 - Datasets 1.13.3 - Tokenizers 0.10.3