--- license: apache-2.0 base_model: anton-l/wav2vec2-base-superb-sv tags: - generated_from_trainer datasets: - edinburghcstr/ami model-index: - name: wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-normalized results: [] --- # wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-normalized This model is a fine-tuned version of [anton-l/wav2vec2-base-superb-sv](https://huggingface.co/anton-l/wav2vec2-base-superb-sv) on the ami 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: 1e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Training results ### Framework versions - Transformers 4.34.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3