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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- emodb |
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metrics: |
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- accuracy |
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model-index: |
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- name: whisper-large-v3-de-emodb-emotion-classification |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: Emo-DB |
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type: emodb |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9439252336448598 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-large-v3-de-emodb-emotion-classification |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Emo-DB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3724 |
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- Accuracy: 0.9439 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.3351 | 1.0 | 214 | 1.1022 | 0.4953 | |
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| 0.2644 | 2.0 | 428 | 0.7572 | 0.7477 | |
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| 0.3796 | 3.0 | 642 | 1.0055 | 0.8131 | |
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| 0.0038 | 4.0 | 856 | 1.0754 | 0.8131 | |
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| 0.001 | 5.0 | 1070 | 0.5485 | 0.9159 | |
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| 0.001 | 6.0 | 1284 | 0.5881 | 0.8785 | |
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| 0.0007 | 7.0 | 1498 | 0.3376 | 0.9439 | |
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| 0.0006 | 8.0 | 1712 | 0.3592 | 0.9439 | |
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| 0.0006 | 9.0 | 1926 | 0.3695 | 0.9439 | |
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| 0.0004 | 10.0 | 2140 | 0.3724 | 0.9439 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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