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jb_whisper_parkinson_model – AI Model by jakub-02 | AlphaNeural AI
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jb_whisper_parkinson_model
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transformers
safetensors
whisper
audio-classification
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
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jb_whisper_parkinson_model
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3598
Accuracy: 1.0
F1 Macro: 1.0
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: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.5351
1.0
70
0.3526
1.0
1.0
0.5046
2.0
140
0.2548
1.0
1.0
0.4078
3.0
210
0.2285
1.0
1.0
0.4748
4.0
280
0.2205
1.0
1.0
0.5464
5.0
350
0.2163
1.0
1.0
Framework versions
Transformers 4.57.6
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
