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Videomae Base Finetuned Kinetics 0324 Abnormal Val02 Pretest Addnon

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.1758 Accuracy: 0.9393

Sourcehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon/tree/5e334a60a1b5752545eb46437b842615b9d7294e
TypeOtherModèle de baseMCG-NJU/videomae-base-finetuned-kineticsVersionRevision 5e334a6

Source du modèle

Type
Other
Taille du fichier
329 MB
Modèle de base
MCG-NJU/videomae-base-finetuned-kinetics
Version
vRevision 5e334a6
Mis à jour
18 sept. 2026
Téléchargements
12
Source
Hugging Face

Description de la source

videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1758
  • Accuracy: 0.9393

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.05
  • training_steps: 90500

Training results

Training LossEpochStepValidation LossAccuracy
0.02110.01009060.66970.7820
0.03261.010018120.79060.7976
0.00152.010027180.27680.9052
0.00133.010036240.28970.8924
0.00124.010045300.59140.8330
0.00145.010054360.51330.8677
0.00696.010063420.36020.8691
0.9657.010072480.43860.8882
0.01428.010081540.37330.9016
0.99349.010090600.38050.8967
0.001910.010099660.39360.8995
0.16111.0100108720.38430.9066
0.000112.0100117780.42200.8995
0.161913.0100126840.27330.9342
0.001414.0100135900.45170.9052
0.985815.0100144960.46080.9030
0.016.0100154020.37450.9193
0.017.0100163080.36010.9257
0.000118.0100172140.34520.9292
0.000619.0100181200.34170.9278
0.003320.0100190260.37370.9236
0.009221.0100199320.46370.9186
0.005822.0100208380.38070.9321
0.000123.0100217440.40980.9299
0.024.0100226500.49910.9165
0.025.0100235560.39160.9278
0.218626.0100244620.46150.9236
0.001527.0100253680.51430.9179
0.000128.0100262740.44120.9271

Framework versions

  • Transformers 4.48.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Sources

1 source
Hugging FacePrincipalVersion 5e334a60a1b5752545eb46437b842615b9d7294e
huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon/tree/5e334a60a1b5752545eb46437b842615b9d7294e

Vérifié 18 sept.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 329 MB · SHA-256 22542f3b1e31…9815 · Hugging Face

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Extraits de sources

2 extraits
Readme18 sept.huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon

--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base-finetuned-kinetics tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon 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. --> # videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1758 - Accuracy: 0.9393 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.05 - training_steps: 90500 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 0.0211 | 0.0100 | 906 | 0.6697 | 0.7820 | | 0.0326 | 1.0100 | 1812 | 0.7906 | 0.7976 | | 0.0015 | 2.0100 | 2718 | 0.2768 | 0.9052 | | 0.0013 | 3.0100 | 3624 | 0.2897 | 0.8924 | | 0.0012 | 4.0100 | 4530 | 0.5914 | 0.8330 | | 0.0014 | 5.0100 | 5436 | 0.5133 | 0.8677 | | 0.0069 | 6.0100 | 6342 | 0.3602 | 0.8691 | | 0.965 | 7.0100 | 7248 | 0.4386 | 0.8882 | | 0.0142 | 8.0100 | 8154 | 0.3733 | 0.9016 | | 0.9934 | 9.0100 | 9060 | 0.3805 | 0.8967 | | 0.0019 | 10.0100 | 9966 | 0.3936 | 0.8995 | | 0.161 | 11.0100 | 10872 | 0.3843 | 0.9066 | | 0.0001 | 12.0100 | 11778 | 0.4220 | 0.8995 | | 0.1619 | 13.0100 | 12684 | 0.2733 | 0.9342 | | 0.0014 | 14.0100 | 13590 | 0.4517 | 0.9052 | | 0.9858 | 15.0100 | 14496 | 0.4608 | 0.9030 | | 0.0 | 16.0100 | 15402 | 0.3745 | 0.9193 | | 0.0 | 17.0100 | 16308 | 0.3601 | 0.9257 | | 0.0001 | 18.0100 | 17214 | 0.3452 | 0.9292 | | 0.0006 | 19.0100 | 18120 | 0.3417 | 0.92...

Note18 sept.huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon

Source context: 12 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo d2o2ji/videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon