--- license: apache-2.0 base_model: openai/whisper-medium tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-med-LoRA_nosie_128_64_45k results: [] --- # whisper-med-LoRA_nosie_128_64_45k This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2688 - Wer: 11.7434 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:-----:|:---------------:|:-------:| | 0.7607 | 1.0 | 2863 | 0.3811 | 15.2075 | | 0.3282 | 2.0 | 5726 | 0.3135 | 13.0948 | | 0.2741 | 3.0 | 8589 | 0.2881 | 12.0860 | | 0.2476 | 4.0 | 11452 | 0.2744 | 11.8196 | | 0.2339 | 5.0 | 14315 | 0.2688 | 11.7434 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu117 - Datasets 2.14.5 - Tokenizers 0.13.3