| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - PolyAI/minds14 |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-tiny-en |
| 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: 0.3541912632821724 |
| --- |
| |
| <!-- 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-en |
|
|
| 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: 0.6875 |
| - Wer Ortho: 0.3745 |
| - Wer: 0.3542 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 500 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 0.6838 | 1.79 | 50 | 0.6522 | 0.4028 | 0.3613 | |
| | 0.2778 | 3.57 | 100 | 0.5727 | 0.3880 | 0.3589 | |
| | 0.1313 | 5.36 | 150 | 0.5870 | 0.3794 | 0.3501 | |
| | 0.0539 | 7.14 | 200 | 0.6080 | 0.3726 | 0.3471 | |
| | 0.022 | 8.93 | 250 | 0.6380 | 0.3745 | 0.3477 | |
| | 0.0095 | 10.71 | 300 | 0.6629 | 0.3843 | 0.3595 | |
| | 0.0049 | 12.5 | 350 | 0.6715 | 0.3819 | 0.3583 | |
| | 0.0036 | 14.29 | 400 | 0.6811 | 0.3825 | 0.3595 | |
| | 0.0032 | 16.07 | 450 | 0.6858 | 0.3757 | 0.3554 | |
| | 0.0029 | 17.86 | 500 | 0.6875 | 0.3745 | 0.3542 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.29.0.dev0 |
| - Pytorch 2.0.0+cu117 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
|
|
