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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

KindOtherBase modelopenai/whisper-smallVersionRevision 49e807eBgrade

Model source

Kind
Other
File size
337 MB
Base model
openai/whisper-small
Version
vRevision 49e807e
Updated
Oct 31, 2026
Downloads
6
Source
Hugging Face

Source description

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 LossEpochStepValidation LossAccuracyF1 Macro
0.53511.0700.35261.01.0
0.50462.01400.25481.01.0
0.40783.02100.22851.01.0
0.47484.02800.22051.01.0
0.54645.03500.21631.01.0

Framework versions

  • Transformers 4.57.6
  • Pytorch 2.11.0+cu130
  • Datasets 4.8.4
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrimaryVersion 49e807eea19fede8643b5a60d4afca18a93104d0
huggingface.co/jakub-02/jb_whisper_parkinson_model/tree/49e807eea19fede8643b5a60d4afca18a93104d0

Verified Oct 31

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Repository files

File inventory only; completeness is unverified.

Model artifacts

1 artifact

model.safetensors

safetensors · FP32 (unverified) · 337 MB · SHA-256 6dc86914fc34…d0e4 · Hugging Face

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Source excerpts

3 excerpts

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - accuracy model-index: - name: jb_whisper_parkinson_model 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. --> # jb_whisper_parkinson_model This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/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

Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo jakub-02/jb_whisper_parkinson_model

Source context: 5 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo jakub-02/jb_whisper_parkinson_model