Whisper Finetuned SAVEE
This model is a fine-tuned version of BurningFang/finetunedwhisperforspeechemotionrecognitionoptimised on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.4934 Accuracy: 0.8542
Source du modèle
- Type
- Modèle
- Taille du fichier
- 79,1 MB
- Modèle de base
- BurningFang/finetuned_whisper_for_speech_emotion_recognition_optimised
- Version
- vRevision f8c07e7
- Mis à jour
- 25 oct. 2026
- Téléchargements
- 37
- Source
- Hugging Face
Description de la source
whisper-finetuned-SAVEE
This model is a fine-tuned version of BurningFang/finetuned_whisper_for_speech_emotion_recognition_optimised on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4934
- Accuracy: 0.8542
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 24 | 1.1851 | 0.5625 |
| No log | 2.0 | 48 | 0.8912 | 0.7083 |
| 6.4937 | 3.0 | 72 | 0.6127 | 0.8021 |
| 6.4937 | 4.0 | 96 | 0.4934 | 0.8542 |
| 0.1264 | 5.0 | 120 | 0.5152 | 0.8333 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
Sources
1 source
Sources
1 sourceVérifié 25 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
3 extraits
Extraits de sources
3 extraits--- library_name: transformers base_model: BurningFang/finetuned_whisper_for_speech_emotion_recognition_optimised tags: - generated_from_trainer metrics: - accuracy model-index: - name: whisper-finetuned-SAVEE 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-finetuned-SAVEE This model is a fine-tuned version of [BurningFang/finetuned_whisper_for_speech_emotion_recognition_optimised](https://huggingface.co/BurningFang/finetuned_whisper_for_speech_emotion_recognition_optimised) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4934 - Accuracy: 0.8542 ## 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: 3e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 24 | 1.1851 | 0.5625 | | No log | 2.0 | 48 | 0.8912 | 0.7083 | | 6.4937 | 3.0 | 72 | 0.6127 | 0.8021 | | 6.4937 | 4.0 | 96 | 0.4934 | 0.8542 | | 0.1264 | 5.0 | 120 | 0.5152 | 0.8333 | ### Framework versions - Transformers 5.9.0 - Pytorch 2.11.0+cu128 - Datasets 4.8.5 - Tokenizers 0.22.2
Source context: 37 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo VasilisAsim/whisper-finetuned-SAVEE
Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo VasilisAsim/whisper-finetuned-SAVEE
