--- license: apache-2.0 base_model: facebook/wav2vec2-xls-r-1b tags: - generated_from_trainer metrics: - wer model-index: - name: wav2vec2-large-xls-r-1b-chichewa results: [] --- # wav2vec2-large-xls-r-1b-chichewa This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the None dataset. It achieves the following results on the evaluation set: - Loss: inf - Wer: 0.8481 ## 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: 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 3.2567 | 3.51 | 400 | inf | 0.9449 | | 1.476 | 7.02 | 800 | inf | 0.8481 | ### Framework versions - Transformers 4.34.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3