| license: apache-2.0 | |
| tags: | |
| - whisper-event | |
| - generated_from_trainer | |
| datasets: | |
| - google/fleurs | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: Whisper Small Wolof | |
| results: | |
| - task: | |
| name: Automatic Speech Recognition | |
| type: automatic-speech-recognition | |
| dataset: | |
| name: google/fleurs wo_sn | |
| type: google/fleurs | |
| config: wo_sn | |
| split: test | |
| args: wo_sn | |
| metrics: | |
| - name: Wer | |
| type: wer | |
| value: 56.60800358704181 | |
| <!-- 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 Wolof | |
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs wo_sn dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.4109 | |
| - Wer: 56.6080 | |
| ## 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: 64 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 10 | |
| - training_steps: 100 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.1+cu117 | |
| - Datasets 2.8.1.dev0 | |
| - Tokenizers 0.13.2 | |