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Videomae Base Finetuned Kinetics 0404 Final 45sec

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: 1.1708 Accuracy: 0.7595

Sourcehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0404_final_45sec/tree/bdf725e6880bea293c12ccf648dcff3d6d397026
KindOtherBase modelMCG-NJU/videomae-base-finetuned-kineticsVersionRevision bdf725e

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base-finetuned-kinetics
Version
vRevision bdf725e
Updated
Sep 18, 2026
Downloads
3
Source
Hugging Face

Source description

videomae-base-finetuned-kinetics-0404_final_45sec

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: 1.1708
  • Accuracy: 0.7595

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: 63000

Training results

Training LossEpochStepValidation LossAccuracy
0.42510.01006310.72870.8076
0.58291.010012620.78660.7696
0.31612.010018930.46660.8191
0.16673.010025241.32510.7493
0.00194.010031551.38410.7485
0.0065.010037860.75650.8358
0.00886.010044171.35820.7767
0.00267.010050481.27380.7652
0.00158.010056791.03580.8173
0.249.010063100.94730.8350
0.006510.010069411.20060.7696
0.000411.010075721.25250.7891
0.000312.010082032.16690.7017
0.000413.010088341.58470.7696
0.005314.010094650.84460.8420
0.001715.0100100961.20590.8076
0.001916.0100107271.68060.7432
0.002817.0100113581.12550.8138
0.73718.0100119891.68610.7626
0.000119.0100126201.22630.8226
0.001220.0100132511.76370.7555
0.186821.0100138821.50430.7988
0.000322.0100145131.77950.7838
0.003323.0100151441.33030.8147
0.183924.0100157751.53710.7882
0.001925.0100164061.65850.7811
0.000126.0100170371.28230.8111
0.015127.0100176681.13600.8376
0.000128.0100182991.48640.8041
0.000829.0100189301.55190.7988

Framework versions

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

Sources

1 source
Hugging FacePrimaryVersion bdf725e6880bea293c12ccf648dcff3d6d397026
huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0404_final_45sec/tree/bdf725e6880bea293c12ccf648dcff3d6d397026

Verified Sep 18

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 37edad2a20bb…4d2e · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0404_final_45sec

--- 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-0404_final_45sec 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-0404_final_45sec 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: 1.1708 - Accuracy: 0.7595 ## 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: 63000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 0.4251 | 0.0100 | 631 | 0.7287 | 0.8076 | | 0.5829 | 1.0100 | 1262 | 0.7866 | 0.7696 | | 0.3161 | 2.0100 | 1893 | 0.4666 | 0.8191 | | 0.1667 | 3.0100 | 2524 | 1.3251 | 0.7493 | | 0.0019 | 4.0100 | 3155 | 1.3841 | 0.7485 | | 0.006 | 5.0100 | 3786 | 0.7565 | 0.8358 | | 0.0088 | 6.0100 | 4417 | 1.3582 | 0.7767 | | 0.0026 | 7.0100 | 5048 | 1.2738 | 0.7652 | | 0.0015 | 8.0100 | 5679 | 1.0358 | 0.8173 | | 0.24 | 9.0100 | 6310 | 0.9473 | 0.8350 | | 0.0065 | 10.0100 | 6941 | 1.2006 | 0.7696 | | 0.0004 | 11.0100 | 7572 | 1.2525 | 0.7891 | | 0.0003 | 12.0100 | 8203 | 2.1669 | 0.7017 | | 0.0004 | 13.0100 | 8834 | 1.5847 | 0.7696 | | 0.0053 | 14.0100 | 9465 | 0.8446 | 0.8420 | | 0.0017 | 15.0100 | 10096 | 1.2059 | 0.8076 | | 0.0019 | 16.0100 | 10727 | 1.6806 | 0.7432 | | 0.0028 | 17.0100 | 11358 | 1.1255 | 0.8138 | | 0.737 | 18.0100 | 11989 | 1.6861 | 0.7626 | | 0.0001 | 19.0100 | 12620 | 1.2263 | 0.8226 | | 0.0012 | 20.0100 | 13251 | 1....

NoteSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0404_final_45sec

Source context: 3 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo d2o2ji/videomae-base-finetuned-kinetics-0404_final_45sec