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Videomae Base Finetuned Kinetics Allkisa 0219

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: 0.3020 Accuracy: 0.9394

Fontehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-0219/tree/b727cbdfa43de2f74a8bf079a426214038bb1c70
TipoOtherModelo baseMCG-NJU/videomae-base-finetuned-kineticsVersãoRevision b727cbd

Fonte do modelo

Tipo
Other
Tamanho do arquivo
329 MB
Modelo base
MCG-NJU/videomae-base-finetuned-kinetics
Versão
vRevision b727cbd
Atualizado
18 de set. de 2026
Downloads
3
Fonte
Hugging Face

Descrição da fonte

videomae-base-finetuned-kinetics-allkisa-0219

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: 0.3020
  • Accuracy: 0.9394

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: 7840

Training results

Training LossEpochStepValidation LossAccuracy
0.06170.02511970.39950.8433
0.00081.02513940.30340.8715
0.00062.02515910.38970.8762
1.28773.02517880.32410.8809
0.00244.02519850.33930.8856
0.00025.025111820.33360.9013
0.00056.025113790.40180.9028
0.00017.025115760.49430.8966
0.00048.025117730.62530.8323
0.00039.025119700.35400.9075
0.000510.025121670.45430.9013
0.000311.025123640.63400.8746
0.012.025125610.45800.9028
0.000413.025127580.52390.8997
0.000314.025129550.46950.9028
0.002515.025131520.66340.8762
0.000116.025133490.50130.9075
0.017.025135460.43180.9216
0.000118.025137430.48570.9169
0.000119.025139400.44360.9138
0.000220.025141370.59820.8950
0.005921.025143340.42600.9248
0.037622.025145310.41580.9263
0.023.025147280.47420.9169
0.024.025149250.47150.9107
0.000225.025151220.47030.9044
0.000426.025153190.43960.9138
0.000127.025155160.44240.9201
0.028.025157130.49310.8966
0.000129.025159100.50900.9028
0.000130.025161070.50550.9028
0.031.025163040.54570.8934
0.022732.025165010.50260.9013

Framework versions

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

Fontes

1 fonte
Hugging FacePrimárioVersão b727cbdfa43de2f74a8bf079a426214038bb1c70
huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-0219/tree/b727cbdfa43de2f74a8bf079a426214038bb1c70

Verificado 18 de set.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 329 MB · SHA-256 cbb687497da2…c5c7 · Hugging Face

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Trechos de fonte

2 trechos
Readme18 de set.huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-0219

--- 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-0219 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-0219 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: 0.3020 - Accuracy: 0.9394 ## 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: 7840 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:----:|:---------------:|:--------:| | 0.0617 | 0.0251 | 197 | 0.3995 | 0.8433 | | 0.0008 | 1.0251 | 394 | 0.3034 | 0.8715 | | 0.0006 | 2.0251 | 591 | 0.3897 | 0.8762 | | 1.2877 | 3.0251 | 788 | 0.3241 | 0.8809 | | 0.0024 | 4.0251 | 985 | 0.3393 | 0.8856 | | 0.0002 | 5.0251 | 1182 | 0.3336 | 0.9013 | | 0.0005 | 6.0251 | 1379 | 0.4018 | 0.9028 | | 0.0001 | 7.0251 | 1576 | 0.4943 | 0.8966 | | 0.0004 | 8.0251 | 1773 | 0.6253 | 0.8323 | | 0.0003 | 9.0251 | 1970 | 0.3540 | 0.9075 | | 0.0005 | 10.0251 | 2167 | 0.4543 | 0.9013 | | 0.0003 | 11.0251 | 2364 | 0.6340 | 0.8746 | | 0.0 | 12.0251 | 2561 | 0.4580 | 0.9028 | | 0.0004 | 13.0251 | 2758 | 0.5239 | 0.8997 | | 0.0003 | 14.0251 | 2955 | 0.4695 | 0.9028 | | 0.0025 | 15.0251 | 3152 | 0.6634 | 0.8762 | | 0.0001 | 16.0251 | 3349 | 0.5013 | 0.9075 | | 0.0 | 17.0251 | 3546 | 0.4318 | 0.9216 | | 0.0001 | 18.0251 | 3743 | 0.4857 | 0.9169 | | 0.0001 | 19.0251 | 3940 | 0.4436 | 0.9138 | | 0.0002 | 20.0251 | 4137 | 0.5982 | 0.8950 | | 0.00...

Note18 de set.huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-allkisa-0219

Source context: 3 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo d2o2ji/videomae-base-finetuned-kinetics-allkisa-0219