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Videomae Base Finetuned Kinetics Allkisa Crop Background 0311 Clip Duration Abnormal12

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: 0.1913 Accuracy: 0.9521

Sourcehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0311-clip_duration-abnormal12/tree/9b1d1d34f0d98b06e40fe5a75cf003f0af9a76aa
KindOtherBase modelMCG-NJU/videomae-base-finetuned-kineticsVersionRevision 9b1d1d3

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base-finetuned-kinetics
Version
vRevision 9b1d1d3
Updated
Sep 18, 2026
Downloads
4
Source
Hugging Face

Source description

videomae-base-finetuned-kinetics-allkisa-crop-background-0311-clip_duration-abnormal12

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: 0.1913
  • Accuracy: 0.9521

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
0.74970.012960.34020.8788
0.15541.015920.48500.8481
0.11812.018880.89040.7851
0.61083.0111840.44830.8772
0.00094.0114800.44710.8611
0.35275.0117760.61080.8336
0.08456.0120720.61130.8498
0.57317.0123680.68380.8255
0.00858.0126640.39240.9079
0.00229.0129600.55720.8740
0.001110.0132560.55160.8578
0.000711.0135520.46340.8869
0.005612.0138480.52710.8821
0.005613.0141440.62030.8675
0.000214.0144400.52210.8934
0.000115.0147360.58820.8885
0.000116.0150320.59870.8853
0.000317.0153280.54360.9031
0.008218.0156240.55750.8966

Framework versions

  • Transformers 4.48.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Sources

1 source
Hugging FacePrimaryVersion 9b1d1d34f0d98b06e40fe5a75cf003f0af9a76aa
huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0311-clip_duration-abnormal12/tree/9b1d1d34f0d98b06e40fe5a75cf003f0af9a76aa

Verified Sep 18

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 5f433cc877b1…6557 · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0311-clip_duration-abnormal12

--- 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-0311-clip_duration-abnormal12 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-0311-clip_duration-abnormal12 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: 0.1913 - Accuracy: 0.9521 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.7497 | 0.01 | 296 | 0.3402 | 0.8788 | | 0.1554 | 1.01 | 592 | 0.4850 | 0.8481 | | 0.1181 | 2.01 | 888 | 0.8904 | 0.7851 | | 0.6108 | 3.01 | 1184 | 0.4483 | 0.8772 | | 0.0009 | 4.01 | 1480 | 0.4471 | 0.8611 | | 0.3527 | 5.01 | 1776 | 0.6108 | 0.8336 | | 0.0845 | 6.01 | 2072 | 0.6113 | 0.8498 | | 0.5731 | 7.01 | 2368 | 0.6838 | 0.8255 | | 0.0085 | 8.01 | 2664 | 0.3924 | 0.9079 | | 0.0022 | 9.01 | 2960 | 0.5572 | 0.8740 | | 0.0011 | 10.01 | 3256 | 0.5516 | 0.8578 | | 0.0007 | 11.01 | 3552 | 0.4634 | 0.8869 | | 0.0056 | 12.01 | 3848 | 0.5271 | 0.8821 | | 0.0056 | 13.01 | 4144 | 0.6203 | 0.8675 | | 0.0002 | 14.01 | 4440 | 0.5221 | 0.8934 | | 0.0001 | 15.01 | 4736 | 0.5882 | 0.8885 | | 0.0001 | 16.01 | 5032 | 0.5987 | 0.8853 | | 0.0003 | 17.01 | 5328 | 0.5436 | 0.9031 | | 0.0082 | 18.01 | 5624 | 0.5575 | 0.8966 | ### Framework versions - Transformers 4.48.1...

NoteSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0311-clip_duration-abnormal12

Source context: 4 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0311-clip_duration-abnormal12