wav2vec2-xls-r-300m-pashto

should probably proofread and complete it, then remove this comment. --> This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the GOOGLE/FLEURS - PS_AF dataset. It achieves the following results on the evaluation set: - Loss: 0.9162 - Wer: 51.59 - Cer: 19.72 More information needed More information needed More information needed The following hyperparameters were used during training: - learning_rate: 7.5e-07 - train_batch_size: 16 - eval_batch_size: 16 - 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: 1000 - training_steps: 6000 - mixed_precision_training: Native AMP - Transformers 4.26.0.dev0 - Pytorch 1.13.1+cu117 - Datasets 2.7.1.dev0 - Tokenizers 0.13.2