whisper-tiny-de-emodb-emotion-classification – AI Model by Flocksserver | AlphaNeural AI

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Flocksserver/
whisper-tiny-de-emodb-emotion-classification

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audio-classification

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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whisper-tiny-de-emodb-emotion-classification

This model is a fine-tuned version of 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