--- license: apache-2.0 tags: - automatic-speech-recognition - openslr_SLR66 - robust-speech-event - generated_from_trainer model-index: - name: '' results: [] --- # This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the OPENSLR_SLR66 - NA dataset. It achieves the following results on the evaluation set: - Loss: 3.3845 - Wer: 0.9869 ## 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: 5e-07 - train_batch_size: 16 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 300 - num_epochs: 100.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 3.5131 | 9.61 | 500 | 3.5294 | 1.0 | | 2.8596 | 19.23 | 1000 | 3.5708 | 1.0 | | 1.9055 | 28.84 | 1500 | 3.6433 | 1.0007 | | 1.4239 | 38.46 | 2000 | 3.6569 | 0.9995 | | 1.2168 | 48.08 | 2500 | 3.6079 | 0.9957 | | 1.1063 | 57.69 | 3000 | 3.5738 | 0.9925 | | 1.0404 | 67.31 | 3500 | 3.4857 | 0.9889 | | 1.001 | 76.92 | 4000 | 3.4882 | 0.9858 | | 0.982 | 86.54 | 4500 | 3.3851 | 0.9871 | | 0.9612 | 96.15 | 5000 | 3.3869 | 0.9873 | ### Framework versions - Transformers 4.16.0.dev0 - Pytorch 1.10.1+cu102 - Datasets 1.17.1.dev0 - Tokenizers 0.11.0