| | --- |
| | language: |
| | - en |
| | license: apache-2.0 |
| | base_model: openai/whisper-tiny |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: openai/whisper-tiny |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # openai/whisper-tiny |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Hanhpt23/SilvarMed dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1653 |
| | - Wer: 2.6729 |
| |
|
| | ## 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: 20 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | | 0.0595 | 1.0 | 2438 | 0.1336 | 4.7314 | |
| | | 0.0301 | 2.0 | 4876 | 0.1503 | 5.6790 | |
| | | 0.0202 | 3.0 | 7314 | 0.1391 | 5.3653 | |
| | | 0.0181 | 4.0 | 9752 | 0.1544 | 6.9011 | |
| | | 0.0155 | 5.0 | 12190 | 0.1623 | 4.4047 | |
| | | 0.0067 | 6.0 | 14628 | 0.1711 | 4.1890 | |
| | | 0.0075 | 7.0 | 17066 | 0.1636 | 3.7577 | |
| | | 0.0073 | 8.0 | 19504 | 0.1676 | 3.2218 | |
| | | 0.005 | 9.0 | 21942 | 0.1756 | 3.5616 | |
| | | 0.0003 | 10.0 | 24380 | 0.1668 | 3.2675 | |
| | | 0.0023 | 11.0 | 26818 | 0.1702 | 3.2741 | |
| | | 0.0025 | 12.0 | 29256 | 0.1662 | 3.0257 | |
| | | 0.0002 | 13.0 | 31694 | 0.1692 | 2.9996 | |
| | | 0.0 | 14.0 | 34132 | 0.1755 | 4.4569 | |
| | | 0.0008 | 15.0 | 36570 | 0.1713 | 3.0192 | |
| | | 0.0001 | 16.0 | 39008 | 0.1620 | 2.7839 | |
| | | 0.0 | 17.0 | 41446 | 0.1718 | 2.7317 | |
| | | 0.0 | 18.0 | 43884 | 0.1659 | 2.7970 | |
| | | 0.0 | 19.0 | 46322 | 0.1653 | 2.6925 | |
| | | 0.0 | 20.0 | 48760 | 0.1653 | 2.6729 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.1 |
| | - Pytorch 2.3.0 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.19.1 |
| | |
