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whisper-finetuned-SAVEE – AI Model by VasilisAsim | AlphaNeural AI
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VasilisAsim
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whisper-finetuned-SAVEE
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transformers
safetensors
whisper
audio-classification
generated_from_trainer
BurningFang/finetuned_whisper_for_speech_emotion_recognition_optimised
finetune
endpoints_compatible
us
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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
