| --- |
| library_name: transformers |
| language: |
| - dv |
| license: apache-2.0 |
| base_model: openai/whisper-medium |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_13_0 |
| metrics: |
| - wer |
| model-index: |
| - name: "Whisper \uFF2Dedium Dv - Leon Lee" |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 13 |
| type: mozilla-foundation/common_voice_13_0 |
| config: dv |
| split: test |
| args: dv |
| metrics: |
| - name: Wer |
| type: wer |
| value: 8.432729422401502 |
| --- |
| |
| <!-- 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. --> |
|
|
| # Whisper Ｍedium Dv - Leon Lee |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 13 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2803 |
| - Wer Ortho: 48.8335 |
| - Wer: 8.4327 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 8000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:| |
| | 0.1344 | 0.8157 | 500 | 0.1613 | 59.9206 | 12.1049 | |
| | 0.0732 | 1.6313 | 1000 | 0.1382 | 52.9285 | 10.2271 | |
| | 0.0411 | 2.4470 | 1500 | 0.1447 | 52.3087 | 9.7628 | |
| | 0.0244 | 3.2626 | 2000 | 0.1538 | 51.6749 | 9.4534 | |
| | 0.0164 | 4.0783 | 2500 | 0.1839 | 53.8617 | 9.4290 | |
| | 0.0162 | 4.8940 | 3000 | 0.1734 | 51.7863 | 9.0604 | |
| | 0.0086 | 5.7096 | 3500 | 0.1962 | 50.8949 | 9.0222 | |
| | 0.0048 | 6.5253 | 4000 | 0.2299 | 50.7904 | 8.8205 | |
| | 0.003 | 7.3409 | 4500 | 0.2336 | 50.7487 | 8.8344 | |
| | 0.0017 | 8.1566 | 5000 | 0.2303 | 50.2472 | 8.6275 | |
| | 0.0017 | 8.9723 | 5500 | 0.2455 | 49.9896 | 8.6327 | |
| | 0.0005 | 9.7879 | 6000 | 0.2551 | 49.8015 | 8.5371 | |
| | 0.0001 | 10.6036 | 6500 | 0.2682 | 48.8962 | 8.4414 | |
| | 0.0 | 11.4192 | 7000 | 0.2732 | 48.6663 | 8.4206 | |
| | 0.0 | 12.2349 | 7500 | 0.2800 | 48.8892 | 8.4605 | |
| | 0.0 | 13.0506 | 8000 | 0.2803 | 48.8335 | 8.4327 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.48.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
