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jb_parkinson_model – AI Model by jakub-02 | AlphaNeural AI
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jakub-02
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jb_parkinson_model
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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jb_parkinson_model
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0116
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.2583
1.0
70
0.1219
0.9412
0.4848
0.0639
2.0
140
0.0117
1.0
1.0
0.0074
3.0
210
0.2729
0.9412
0.4848
0.0051
4.0
280
0.3068
0.9412
0.4848
0.0045
5.0
350
0.0184
1.0
1.0
Framework versions
Transformers 4.57.6
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
