--- library_name: peft language: - it license: apache-2.0 base_model: openai/whisper-medium tags: - generated_from_trainer datasets: - b-brave-clean metrics: - wer model-index: - name: Whisper Medium results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: b-brave-clean type: b-brave-clean config: default split: test args: default metrics: - type: wer value: 37.106017191977074 name: Wer --- # Whisper Medium This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-clean dataset. It achieves the following results on the evaluation set: - Loss: 0.4423 - Wer: 37.1060 - Cer: 27.9222 - Lr: 0.0000 ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.3 - num_epochs: 16 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Lr | |:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:| | 3.8497 | 1.0 | 168 | 2.1950 | 120.4871 | 80.3257 | 0.0001 | | 1.0999 | 2.0 | 336 | 0.8517 | 88.6819 | 73.6538 | 0.0001 | | 0.7773 | 3.0 | 504 | 0.7060 | 224.9284 | 212.4245 | 0.0002 | | 0.5742 | 4.0 | 672 | 0.5562 | 50.1433 | 34.0163 | 0.0002 | | 0.3652 | 5.0 | 840 | 0.5426 | 103.2951 | 88.8101 | 0.0003 | | 0.2244 | 6.0 | 1008 | 0.5211 | 100.2865 | 66.5353 | 0.0003 | | 0.1522 | 7.0 | 1176 | 0.4991 | 48.9971 | 35.5398 | 0.0002 | | 0.0863 | 8.0 | 1344 | 0.4682 | 39.1117 | 28.3951 | 0.0002 | | 0.0472 | 9.0 | 1512 | 0.4743 | 44.1261 | 30.9693 | 0.0002 | | 0.021 | 10.0 | 1680 | 0.4590 | 40.5444 | 29.1305 | 0.0002 | | 0.0106 | 11.0 | 1848 | 0.4460 | 37.3926 | 27.1868 | 0.0001 | | 0.0053 | 12.0 | 2016 | 0.4420 | 36.6762 | 27.4494 | 0.0001 | | 0.0034 | 13.0 | 2184 | 0.4395 | 37.9656 | 28.4476 | 0.0001 | | 0.0021 | 14.0 | 2352 | 0.4398 | 36.8195 | 27.6596 | 0.0001 | | 0.0023 | 15.0 | 2520 | 0.4422 | 37.1060 | 27.9222 | 0.0000 | | 0.0021 | 15.9075 | 2672 | 0.4423 | 37.1060 | 27.9222 | 0.0000 | ### Framework versions - PEFT 0.14.0 - Transformers 4.48.3 - Pytorch 2.2.0 - Datasets 3.2.0 - Tokenizers 0.21.0