| --- |
| language: |
| - de |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small german |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: de |
| split: test |
| metrics: |
| - name: Wer |
| type: wer |
| value: 12.2134 |
| --- |
| |
| <!-- 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 Small german |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3092 |
| - Wer: 12.2134 |
|
|
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 6000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.1427 | 1.99 | 1000 | 0.2298 | 12.2134 | |
| | 0.032 | 3.98 | 2000 | 0.2521 | 12.4540 | |
| | 0.0066 | 5.96 | 3000 | 0.2766 | 12.3981 | |
| | 0.0036 | 7.95 | 4000 | 0.2932 | 12.5753 | |
| | 0.0023 | 9.94 | 5000 | 0.3041 | 12.5719 | |
| | 0.0019 | 11.93 | 6000 | 0.3092 | 12.6312 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
|
|
