| | --- |
| | library_name: transformers |
| | language: |
| | - uk |
| | license: apache-2.0 |
| | base_model: openai/whisper-tiny |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper tiny uk - Herai Hench KI-11 |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Common Voice 11.0 |
| | type: mozilla-foundation/common_voice_11_0 |
| | config: uk |
| | split: None |
| | args: 'config: uk, split: test' |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 58.393189678105884 |
| | --- |
| | |
| | <!-- 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 uk - Herai Hench KI-11 |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7245 |
| | - Wer: 58.3932 |
| | - Cer: 18.1853 |
| |
|
| | ## 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: 6e-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - 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: 500 |
| | - training_steps: 6000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| | |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
| | | 0.7374 | 0.8065 | 1000 | 0.8454 | 64.6981 | 22.8643 | |
| | | 0.6193 | 1.6129 | 2000 | 0.7735 | 61.6387 | 20.3717 | |
| | | 0.5334 | 2.4194 | 3000 | 0.7444 | 60.3618 | 18.8322 | |
| | | 0.4709 | 3.2258 | 4000 | 0.7318 | 59.5903 | 19.9146 | |
| | | 0.4616 | 4.0323 | 5000 | 0.7242 | 58.3134 | 18.0517 | |
| | | 0.4209 | 4.8387 | 6000 | 0.7245 | 58.3932 | 18.1853 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.52.4 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.0 |
| | |
