--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: wav2vec2-large-xls-r-300m-Urdu results: [] --- # wav2vec2-large-xls-r-300m-Urdu This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset. It achieves the following results on the evaluation set: - Loss: 0.9889 - Wer: 0.5607 - Cer: 0.2370 ## 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 - gradient_accumulation_steps: 2 - 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: 1000 - num_epochs: 200 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |:-------------:|:------:|:----:|:---------------:|:------:|:------:| | 3.6398 | 30.77 | 400 | 3.3517 | 1.0 | 1.0 | | 2.9225 | 61.54 | 800 | 2.5123 | 1.0 | 0.8310 | | 1.2568 | 92.31 | 1200 | 0.9699 | 0.6273 | 0.2575 | | 0.8974 | 123.08 | 1600 | 0.9715 | 0.5888 | 0.2457 | | 0.7151 | 153.85 | 2000 | 0.9984 | 0.5588 | 0.2353 | | 0.6416 | 184.62 | 2400 | 0.9889 | 0.5607 | 0.2370 | ### Framework versions - Transformers 4.17.0.dev0 - Pytorch 1.10.2+cu102 - Datasets 1.18.2.dev0 - Tokenizers 0.11.0