--- language: - en license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-tiny results: [] --- # openai/whisper-tiny This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Hanhpt23/SMMMU dataset. It achieves the following results on the evaluation set: - Loss: 0.5068 - Wer: 16.9043 ## 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: 0.0001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | No log | 1.0 | 14 | 1.0476 | 17.5967 | | 1.1834 | 2.0 | 28 | 0.6758 | 19.3686 | | 1.1834 | 3.0 | 42 | 0.5599 | 20.5458 | | 0.3274 | 4.0 | 56 | 0.4398 | 13.8208 | | 0.3274 | 5.0 | 70 | 0.4560 | 24.6558 | | 0.0781 | 6.0 | 84 | 0.5055 | 21.6456 | | 0.0781 | 7.0 | 98 | 0.5160 | 33.9348 | | 0.0947 | 8.0 | 112 | 0.5665 | 19.8289 | | 0.0674 | 9.0 | 126 | 0.5255 | 17.9878 | | 0.0674 | 10.0 | 140 | 0.5068 | 16.9043 | ### Framework versions - Transformers 4.41.1 - Pytorch 2.3.0 - Datasets 2.19.1 - Tokenizers 0.19.1