| --- |
| 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 pphuc25/EngMed dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4835 |
| - Wer: 32.2972 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 0.8402 | 1.0 | 3491 | 0.9453 | 45.4910 | |
| | 0.5871 | 2.0 | 6982 | 0.9525 | 54.3790 | |
| | 0.3779 | 3.0 | 10473 | 0.9838 | 38.5673 | |
| | 0.2907 | 4.0 | 13964 | 1.0268 | 38.9408 | |
| | 0.2155 | 5.0 | 17455 | 1.1086 | 47.6326 | |
| | 0.1331 | 6.0 | 20946 | 1.1735 | 37.2778 | |
| | 0.1051 | 7.0 | 24437 | 1.2287 | 43.8694 | |
| | 0.0862 | 8.0 | 27928 | 1.2749 | 38.3380 | |
| | 0.051 | 9.0 | 31419 | 1.3181 | 38.1879 | |
| | 0.0505 | 10.0 | 34910 | 1.3519 | 37.6607 | |
| | 0.0235 | 11.0 | 38401 | 1.3838 | 34.7355 | |
| | 0.0172 | 12.0 | 41892 | 1.4131 | 34.8962 | |
| | 0.0145 | 13.0 | 45383 | 1.4257 | 34.5925 | |
| | 0.0102 | 14.0 | 48874 | 1.4460 | 34.5535 | |
| | 0.0063 | 15.0 | 52365 | 1.4482 | 33.0453 | |
| | 0.0023 | 16.0 | 55856 | 1.4666 | 32.8515 | |
| | 0.0017 | 17.0 | 59347 | 1.4708 | 32.4284 | |
| | 0.004 | 18.0 | 62838 | 1.4847 | 32.8149 | |
| | 0.0002 | 19.0 | 66329 | 1.4768 | 32.1459 | |
| | 0.0001 | 20.0 | 69820 | 1.4835 | 32.2972 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.1 |
| - Pytorch 2.3.0 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
| |
