--- license: apache-2.0 base_model: Amadkour/wav2vec2-large-xls-r-300m-tr-softkour tags: - generated_from_trainer datasets: - common_voice_11_0 model-index: - name: wav2vec2-large-xls-r-300m-tr-softkour results: [] --- # wav2vec2-large-xls-r-300m-tr-softkour This model is a fine-tuned version of [Amadkour/wav2vec2-large-xls-r-300m-tr-softkour](https://huggingface.co/Amadkour/wav2vec2-large-xls-r-300m-tr-softkour) on the common_voice_11_0 dataset. ## 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: 1 ### Training results ### Framework versions - Transformers 4.39.3 - Pytorch 2.2.2+cpu - Datasets 2.18.0 - Tokenizers 0.15.2