--- language: - en license: apache-2.0 base_model: Hanhpt23/whisper-tiny-smmmu tags: - generated_from_trainer metrics: - wer model-index: - name: Hanhpt23/whisper-tiny-smmmu results: [] --- # Hanhpt23/whisper-tiny-smmmu This model is a fine-tuned version of [Hanhpt23/whisper-tiny-smmmu](https://huggingface.co/Hanhpt23/whisper-tiny-smmmu) on the Hanhpt23/SLISA dataset. It achieves the following results on the evaluation set: - Loss: 0.0002 - Wer: 0.0 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.0873 | 1.0 | 30 | 0.0128 | 0.2480 | | 0.0156 | 2.0 | 60 | 0.0052 | 3.2398 | | 0.0062 | 3.0 | 90 | 0.0070 | 0.1705 | | 0.0101 | 4.0 | 120 | 0.0349 | 2.4027 | | 0.0251 | 5.0 | 150 | 0.0085 | 0.2325 | | 0.0124 | 6.0 | 180 | 0.0091 | 0.1860 | | 0.016 | 7.0 | 210 | 0.0031 | 0.0465 | | 0.0039 | 8.0 | 240 | 0.0020 | 0.0465 | | 0.0044 | 9.0 | 270 | 0.0003 | 0.0155 | | 0.0003 | 10.0 | 300 | 0.0002 | 0.0 | ### Framework versions - Transformers 4.41.1 - Pytorch 2.3.0 - Datasets 2.19.1 - Tokenizers 0.19.1