| | --- |
| | license: apache-2.0 |
| | base_model: openai/whisper-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: openai/whisper-small |
| | 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-small |
| |
|
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Hanhpt23/MultiMed dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2205 |
| | - Wer: 20.9109 |
| | - Cer: 14.5195 |
| |
|
| | ## 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 | Cer | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
| | | 0.6311 | 1.0 | 4626 | 0.7523 | 29.1582 | 21.4782 | |
| | | 0.4966 | 2.0 | 9252 | 0.7386 | 30.4497 | 22.0004 | |
| | | 0.2482 | 3.0 | 13878 | 0.7919 | 24.2525 | 17.3460 | |
| | | 0.1989 | 4.0 | 18504 | 0.8427 | 25.2392 | 17.5838 | |
| | | 0.1419 | 5.0 | 23130 | 0.9057 | 23.5514 | 16.6085 | |
| | | 0.0828 | 6.0 | 27756 | 0.9730 | 22.8122 | 15.8105 | |
| | | 0.0609 | 7.0 | 32382 | 1.0176 | 22.9715 | 16.0236 | |
| | | 0.0452 | 8.0 | 37008 | 1.0531 | 23.1268 | 16.1591 | |
| | | 0.0354 | 9.0 | 41634 | 1.1008 | 23.0799 | 16.0754 | |
| | | 0.0228 | 10.0 | 46260 | 1.1070 | 22.0164 | 15.3787 | |
| | | 0.02 | 11.0 | 50886 | 1.1342 | 22.4321 | 15.5082 | |
| | | 0.0126 | 12.0 | 55512 | 1.1520 | 22.0949 | 15.3324 | |
| | | 0.0062 | 13.0 | 60138 | 1.1820 | 22.0076 | 15.3419 | |
| | | 0.0045 | 14.0 | 64764 | 1.1860 | 21.7019 | 15.1221 | |
| | | 0.0025 | 15.0 | 69390 | 1.2004 | 21.2894 | 14.7874 | |
| | | 0.0058 | 16.0 | 74016 | 1.1949 | 21.6711 | 15.1412 | |
| | | 0.0005 | 17.0 | 78642 | 1.1967 | 21.4148 | 14.8903 | |
| | | 0.0001 | 18.0 | 83268 | 1.2102 | 21.1438 | 14.6915 | |
| | | 0.0001 | 19.0 | 87894 | 1.2192 | 21.0654 | 14.6546 | |
| | | 0.0001 | 20.0 | 92520 | 1.2205 | 20.9109 | 14.5195 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.1 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
