| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| datasets: |
| - PolyAI/minds14 |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-tiny-ft-PolyAI-minds-14-enUS |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: PolyAI/minds14 |
| type: PolyAI/minds14 |
| config: en-US |
| split: train |
| args: en-US |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.3689492325855962 |
| --- |
| |
| <!-- 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-tiny-ft-PolyAI-minds-14-enUS |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6365 |
| - Wer Ortho: 0.3763 |
| - Wer: 0.3689 |
|
|
| ## 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: 4e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 200 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 2.9861 | 0.89 | 25 | 1.7468 | 0.5219 | 0.4038 | |
| | 0.8551 | 1.79 | 50 | 0.5897 | 0.8075 | 0.7928 | |
| | 0.3477 | 2.68 | 75 | 0.5229 | 0.6206 | 0.6198 | |
| | 0.151 | 3.57 | 100 | 0.5565 | 0.6971 | 0.6895 | |
| | 0.0895 | 4.46 | 125 | 0.5740 | 0.4812 | 0.4752 | |
| | 0.0373 | 5.36 | 150 | 0.5987 | 0.4479 | 0.4416 | |
| | 0.0232 | 6.25 | 175 | 0.6463 | 0.3751 | 0.3660 | |
| | 0.015 | 7.14 | 200 | 0.6365 | 0.3763 | 0.3689 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.0 |
| - Pytorch 1.12.1+cu116 |
| - Datasets 2.14.4 |
| - Tokenizers 0.12.1 |
| |
