--- tags: - generated_from_trainer datasets: - common_voice_17_0 model-index: - name: wav2vec2-large-xls-r-300m-ipa results: [] --- # wav2vec2-large-xls-r-300m-ipa This model was trained from scratch on the common_voice_17_0 dataset. It achieves the following results on the evaluation set: - Loss: 0.7900 ## 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: 34 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 68 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | 7.2967 | 2.2222 | 50 | 7.3217 | | 3.9212 | 4.4444 | 100 | 4.1064 | | 3.2366 | 6.6667 | 150 | 3.3641 | | 3.1466 | 8.8889 | 200 | 3.3592 | | 3.0562 | 11.1111 | 250 | 3.1385 | | 0.6813 | 13.3333 | 300 | 0.7900 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1