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Videomae Base Finetuned Kinetics Allkisa Crop Background 0312 Clip Duration Abnormal12 Resize

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: 0.3122 Accuracy: 0.9393

Sourcehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal12_resize/tree/42850b716917fbd00c54d8daeb6fcdf94e0841ac
KindOtherBase modelMCG-NJU/videomae-base-finetuned-kineticsVersionRevision 42850b7

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base-finetuned-kinetics
Version
vRevision 42850b7
Updated
Sep 18, 2026
Downloads
5
Source
Hugging Face

Source description

videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal12_resize

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: 0.3122
  • 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: 29600

Training results

Training LossEpochStepValidation LossAccuracy
0.66160.012960.37860.8675
0.18161.015920.57630.8352
0.02662.018880.66280.8078
0.41683.0111840.40090.8562
0.02714.0114800.44660.8675
0.43715.0117760.50050.8498
0.02696.0120720.56840.8498
0.00617.0123680.58580.8643
0.02628.0126640.45710.8901
0.00039.0129600.63480.8627
0.000410.0132560.65310.8708
0.00211.0135520.50160.8821
0.004812.0138480.65940.8578
0.578813.0141440.55580.8934
0.000214.0144400.67400.8611
0.000115.0147360.53460.8950
0.00716.0150320.61100.8885
0.000117.0153280.61410.8869
0.036318.0156240.55040.8934
0.000219.0159200.53720.8982
0.400920.0162160.54220.8998
0.004921.0165120.56870.8918
0.004822.0168080.53550.8982
0.023.0171040.57200.8982
0.003824.0174000.54210.9047
0.000425.0176960.62540.8950
0.000226.0179920.58090.8998
0.003127.0182880.58690.8966
0.001128.0185840.60730.8950
0.000129.0188800.59420.9015
0.573430.0191760.57240.8998
0.000131.0194720.55580.9047
0.000132.0197680.56940.8982
0.033.01100640.58740.9031
0.034.01103600.60370.8966

Framework versions

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

Sources

1 source
Hugging FacePrimaryVersion 42850b716917fbd00c54d8daeb6fcdf94e0841ac
huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal12_resize/tree/42850b716917fbd00c54d8daeb6fcdf94e0841ac

Verified Sep 18

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 f6de4e58b256…fd6a · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal12_resize

--- 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-allkisa-crop-background-0312-clip_duration-abnormal12_resize 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-allkisa-crop-background-0312-clip_duration-abnormal12_resize 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: 0.3122 - 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: 29600 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.6616 | 0.01 | 296 | 0.3786 | 0.8675 | | 0.1816 | 1.01 | 592 | 0.5763 | 0.8352 | | 0.0266 | 2.01 | 888 | 0.6628 | 0.8078 | | 0.4168 | 3.01 | 1184 | 0.4009 | 0.8562 | | 0.0271 | 4.01 | 1480 | 0.4466 | 0.8675 | | 0.4371 | 5.01 | 1776 | 0.5005 | 0.8498 | | 0.0269 | 6.01 | 2072 | 0.5684 | 0.8498 | | 0.0061 | 7.01 | 2368 | 0.5858 | 0.8643 | | 0.0262 | 8.01 | 2664 | 0.4571 | 0.8901 | | 0.0003 | 9.01 | 2960 | 0.6348 | 0.8627 | | 0.0004 | 10.01 | 3256 | 0.6531 | 0.8708 | | 0.002 | 11.01 | 3552 | 0.5016 | 0.8821 | | 0.0048 | 12.01 | 3848 | 0.6594 | 0.8578 | | 0.5788 | 13.01 | 4144 | 0.5558 | 0.8934 | | 0.0002 | 14.01 | 4440 | 0.6740 | 0.8611 | | 0.0001 | 15.01 | 4736 | 0.5346 | 0.8950 | | 0.007 | 16.01 | 5032 | 0.6110 | 0.8885 | | 0.0001 | 17.01 | 5328 | 0.6141 | 0.8869 | | 0.0363 | 18.01 | 5624 | 0.5504 | 0.8934 | | 0.0002 | 19.01 | 5920 | 0.5372 |...

NoteSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal12_resize

Source context: 5 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal12_resize