| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| datasets: |
| - emodb |
| metrics: |
| - accuracy |
| language: |
| - de |
| model-index: |
| - name: whisper-tiny-de-emodb-emotion-classification |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: Emo-DB |
| type: emodb |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9158878504672897 |
| --- |
| |
| <!-- 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-de-emodb-emotion-classification |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the german Emo-DB dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4912 |
| - Accuracy: 0.9159 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.3193 | 1.0 | 214 | 1.4616 | 0.3925 | |
| | 0.1342 | 2.0 | 428 | 1.0384 | 0.6449 | |
| | 0.0582 | 3.0 | 642 | 1.5578 | 0.6542 | |
| | 0.6567 | 4.0 | 856 | 1.2043 | 0.7850 | |
| | 0.0202 | 5.0 | 1070 | 0.5967 | 0.8598 | |
| | 0.0008 | 6.0 | 1284 | 0.6261 | 0.8692 | |
| | 0.0006 | 7.0 | 1498 | 0.5857 | 0.8785 | |
| | 0.0004 | 8.0 | 1712 | 0.4992 | 0.9065 | |
| | 0.0004 | 9.0 | 1926 | 0.4943 | 0.9159 | |
| | 0.0003 | 10.0 | 2140 | 0.4912 | 0.9159 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.45.0.dev0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
| |
