--- language: - multilingual license: apache-2.0 base_model: openai/whisper-medium tags: - generated_from_trainer model-index: - name: Whisper Medium CodeMixed bn-en - Mohammad Fayez Ullah results: [] --- # Whisper Medium CodeMixed bn-en - Mohammad Fayez Ullah This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Custom dataset: CodeMixed-BanEng dataset. It achieves the following results on the evaluation set: - eval_loss: 0.1913 - eval_wer: 40.7018 - eval_runtime: 519.0489 - eval_samples_per_second: 0.605 - eval_steps_per_second: 0.152 - epoch: 61.3208 - step: 6500 ## 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: 12 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 12000 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.41.1 - Pytorch 2.2.1 - Datasets 2.19.1 - Tokenizers 0.19.1