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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

Fontehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0324-abnormal_val02_pretest_addnon/tree/5e334a60a1b5752545eb46437b842615b9d7294e
TipoOtherModelo baseMCG-NJU/videomae-base-finetuned-kineticsVersãoRevision 5e334a6

Fonte do modelo

Tipo
Other
Tamanho do arquivo
329 MB
Modelo base
MCG-NJU/videomae-base-finetuned-kinetics
Versão
vRevision 5e334a6
Atualizado
18 de set. de 2026
Downloads
12
Fonte
Hugging Face

Descrição da fonte

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

Fontes

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

Verificado 18 de set.

Artefatos de modelo

1 artefato

model.safetensors

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

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Trechos de fonte

2 trechos
Readme18 de set.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 de set.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