--- license: apache-2.0 base_model: facebook/wav2vec2-xls-r-300m tags: - generated_from_trainer datasets: - common_voice metrics: - wer model-index: - name: wav2vec2-large-xls-r-300m-eu results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice type: common_voice config: eu split: test args: eu metrics: - name: Wer type: wer value: 0.4967706508380619 --- # wav2vec2-large-xls-r-300m-eu 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: 0.4355 - Wer: 0.4968 ## 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: 0.003 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.5405 | 0.85 | 400 | 0.8115 | 0.8949 | | 0.5355 | 1.7 | 800 | 0.6292 | 0.7331 | | 0.405 | 2.56 | 1200 | 0.5805 | 0.6699 | | 0.3261 | 3.41 | 1600 | 0.5308 | 0.6513 | | 0.2496 | 4.26 | 2000 | 0.4755 | 0.5850 | | 0.1878 | 5.11 | 2400 | 0.4926 | 0.5448 | | 0.1342 | 5.96 | 2800 | 0.4355 | 0.4968 | ### Framework versions - Transformers 4.32.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3