--- license: apache-2.0 base_model: openai/whisper-medium tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-medium-atcosim results: [] --- # whisper-medium-atcosim 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: 0.0493 - Wer: 79.0563 ## 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: 128 - eval_batch_size: 128 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 10 - num_epochs: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.129 | 8.33 | 500 | 0.0419 | 2.3014 | | 0.0004 | 16.67 | 1000 | 0.0428 | 17.1282 | | 0.0002 | 25.0 | 1500 | 0.0426 | 10.4510 | | 0.0012 | 33.33 | 2000 | 0.0427 | 39.6277 | | 0.0003 | 41.67 | 2500 | 0.0423 | 58.2515 | | 0.0 | 50.0 | 3000 | 0.0456 | 54.7324 | | 0.0 | 58.33 | 3500 | 0.0468 | 61.8402 | | 0.0 | 66.67 | 4000 | 0.0477 | 68.6794 | | 0.0 | 75.0 | 4500 | 0.0483 | 72.7172 | | 0.0 | 83.33 | 5000 | 0.0488 | 76.2502 | | 0.0 | 91.67 | 5500 | 0.0491 | 78.2228 | | 0.0 | 100.0 | 6000 | 0.0493 | 79.0563 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2 - Datasets 2.15.0 - Tokenizers 0.15.0