| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base-960h |
| tags: |
| - generated_from_trainer |
| datasets: |
| - fleurs |
| metrics: |
| - wer |
| model-index: |
| - name: low-german |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: fleurs |
| type: fleurs |
| config: sw_ke |
| split: test |
| args: sw_ke |
| metrics: |
| - name: Wer |
| type: wer |
| value: 1.189170182841069 |
| --- |
| |
| <!-- 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. --> |
|
|
| # low-german |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the fleurs dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 20.8272 |
| - Wer: 1.1892 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - 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: 2000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-------:|:----:|:---------------:|:------:| |
| | 0.0 | 31.2540 | 1000 | 20.8277 | 1.1877 | |
| | 0.0 | 62.5079 | 2000 | 20.8272 | 1.1892 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.53.0 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.2 |
|
|
