| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - afrispeech-200 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: whisper-medium-21 |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: afrispeech-200 |
| | type: afrispeech-200 |
| | config: all |
| | split: train |
| | args: all |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 0.1798692249973202 |
| | --- |
| | |
| | <!-- 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-medium-21 |
| |
|
| | This model is a fine-tuned version of [saif-daoud/whisper-medium-20](https://huggingface.co/saif-daoud/whisper-medium-20) on the afrispeech-200 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6567 |
| | - Wer: 0.1799 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - training_steps: 1500 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 1.3818 | 0.5 | 750 | 0.7995 | 0.1643 | |
| | | 1.1218 | 1.5 | 1500 | 0.6567 | 0.1799 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.28.0.dev0 |
| | - Pytorch 2.0.0+cu118 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.13.2 |
| | |
