| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| datasets: |
| - PolyAI/minds14 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny-Handy-Pretty - ckandemir |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: PolyAI/minds14 |
| type: PolyAI/minds14 |
| config: en-US |
| split: train[450:] |
| args: en-US |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.3116883116883117 |
| --- |
| |
| <!-- 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-Handy-Pretty - ckandemir |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the PolyAI/minds14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5197 |
| - Wer Ortho: 31.6471 |
| - Wer: 0.3117 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 12 |
| - eval_batch_size: 12 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine_with_restarts |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 150 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 0.8427 | 1.32 | 50 | 0.5401 | 35.9655 | 0.3566 | |
| | 0.1982 | 2.63 | 100 | 0.5179 | 35.5336 | 0.3501 | |
| | 0.0531 | 3.95 | 150 | 0.5197 | 31.6471 | 0.3117 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.1 |
| - Tokenizers 0.13.3 |
| |
