| | --- |
| | language: |
| | - ger |
| | license: apache-2.0 |
| | base_model: openai/whisper-small |
| | tags: |
| | - hf-asr-leaderboard |
| | - generated_from_trainer |
| | model-index: |
| | - name: Whisper Small Ger - Daniel Dumschat |
| | results: [] |
| | --- |
| | |
| | <!-- 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 Ger - Daniel Dumschat |
| |
|
| | 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: |
| | - eval_loss: 0.5311 |
| | - eval_wer: 91.3258 |
| | - eval_runtime: 990.1974 |
| | - eval_samples_per_second: 1.624 |
| | - eval_steps_per_second: 0.203 |
| | - epoch: 0.29 |
| | - step: 900 |
| | |
| | ## 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: 0.0001 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - training_steps: 1000 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.0.dev0 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
| | |
