--- license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-tiny-atcosim results: [] --- # whisper-tiny-atcosim This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0711 - Wer: 72.8237 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.2141 | 8.33 | 500 | 0.0633 | 15.6047 | | 0.0023 | 16.67 | 1000 | 0.0629 | 29.2091 | | 0.0007 | 25.0 | 1500 | 0.0646 | 46.2076 | | 0.0003 | 33.33 | 2000 | 0.0659 | 54.1767 | | 0.0002 | 41.67 | 2500 | 0.0670 | 58.2284 | | 0.0002 | 50.0 | 3000 | 0.0679 | 64.0952 | | 0.0001 | 58.33 | 3500 | 0.0688 | 65.9520 | | 0.0001 | 66.67 | 4000 | 0.0695 | 68.5081 | | 0.0001 | 75.0 | 4500 | 0.0701 | 70.5316 | | 0.0001 | 83.33 | 5000 | 0.0706 | 72.2217 | | 0.0001 | 91.67 | 5500 | 0.0710 | 72.6801 | | 0.0001 | 100.0 | 6000 | 0.0711 | 72.8237 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2 - Datasets 2.15.0 - Tokenizers 0.15.0