--- license: apache-2.0 base_model: openai/whisper-medium.en tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-medium.en-atcosim results: [] --- # whisper-medium.en-atcosim This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0542 - Wer: 1.4169 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.2006 | 8.33 | 500 | 0.0410 | 1.2456 | | 0.0003 | 16.67 | 1000 | 0.0443 | 1.2224 | | 0.0001 | 25.0 | 1500 | 0.0473 | 1.1854 | | 0.0 | 33.33 | 2000 | 0.0489 | 1.2039 | | 0.0 | 41.67 | 2500 | 0.0501 | 1.2224 | | 0.0 | 50.0 | 3000 | 0.0511 | 1.2873 | | 0.0 | 58.33 | 3500 | 0.0520 | 1.3012 | | 0.0 | 66.67 | 4000 | 0.0527 | 1.3197 | | 0.0 | 75.0 | 4500 | 0.0533 | 1.3891 | | 0.0 | 83.33 | 5000 | 0.0537 | 1.4077 | | 0.0 | 91.67 | 5500 | 0.0541 | 1.4169 | | 0.0 | 100.0 | 6000 | 0.0542 | 1.4169 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2 - Datasets 2.15.0 - Tokenizers 0.15.0