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Videomae Base Finetuned Kinetics 0325 Final Lr

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: 0.5225 Accuracy: 0.8756

Sourcehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0325_final_lr/tree/9ff49ec21a13c3411debe06f654c05a867ee25fb
KindOtherBase modelMCG-NJU/videomae-base-finetuned-kineticsVersionRevision 9ff49ec

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base-finetuned-kinetics
Version
vRevision 9ff49ec
Updated
Sep 18, 2026
Downloads
5
Source
Hugging Face

Source description

videomae-base-finetuned-kinetics-0325_final_lr

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: 0.5225
  • Accuracy: 0.8756

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: 3e-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: 68700

Training results

Training LossEpochStepValidation LossAccuracy
0.0040.016870.64790.8288
0.00741.0113740.60000.8486
0.02242.0120610.33220.8988
0.2973.0127480.86650.7984
0.05644.0134351.00010.8049
0.01325.0141220.46090.8798
0.11946.0148090.66300.8560
0.00317.0154961.03750.7967
0.03728.0161830.46770.9021
0.69569.0168701.58650.7243
0.691410.0175571.30210.7819
0.399811.0182440.79560.8568
0.139612.0189310.72520.8807
0.001613.0196180.83650.8634
0.007214.01103050.72980.8486
0.235615.01109920.69460.8617
0.030416.01116791.11660.8313
0.000917.01123661.12680.8329
0.000318.01130530.87790.8535
0.007819.01137400.83730.8617
0.002420.01144271.48140.8041
0.009921.01151141.20400.8412
0.018822.01158011.12810.8428
0.000123.01164881.00090.8601

Framework versions

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

Sources

1 source
Hugging FacePrimaryVersion 9ff49ec21a13c3411debe06f654c05a867ee25fb
huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0325_final_lr/tree/9ff49ec21a13c3411debe06f654c05a867ee25fb

Verified Sep 18

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 1e13d38369ea…31fc · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0325_final_lr

--- 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-0325_final_lr 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-0325_final_lr 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: 0.5225 - Accuracy: 0.8756 ## 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: 3e-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: 68700 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.004 | 0.01 | 687 | 0.6479 | 0.8288 | | 0.0074 | 1.01 | 1374 | 0.6000 | 0.8486 | | 0.0224 | 2.01 | 2061 | 0.3322 | 0.8988 | | 0.297 | 3.01 | 2748 | 0.8665 | 0.7984 | | 0.0564 | 4.01 | 3435 | 1.0001 | 0.8049 | | 0.0132 | 5.01 | 4122 | 0.4609 | 0.8798 | | 0.1194 | 6.01 | 4809 | 0.6630 | 0.8560 | | 0.0031 | 7.01 | 5496 | 1.0375 | 0.7967 | | 0.0372 | 8.01 | 6183 | 0.4677 | 0.9021 | | 0.6956 | 9.01 | 6870 | 1.5865 | 0.7243 | | 0.6914 | 10.01 | 7557 | 1.3021 | 0.7819 | | 0.3998 | 11.01 | 8244 | 0.7956 | 0.8568 | | 0.1396 | 12.01 | 8931 | 0.7252 | 0.8807 | | 0.0016 | 13.01 | 9618 | 0.8365 | 0.8634 | | 0.0072 | 14.01 | 10305 | 0.7298 | 0.8486 | | 0.2356 | 15.01 | 10992 | 0.6946 | 0.8617 | | 0.0304 | 16.01 | 11679 | 1.1166 | 0.8313 | | 0.0009 | 17.01 | 12366 | 1.1268 | 0.8329 | | 0.0003 | 18.01 | 13053 | 0.8779 | 0.8535 | | 0.0078 | 19.01 | 13740 | 0.8373 | 0.8617 | | 0.0024 | 20.01 | 14427 | 1.4814 | 0.8041 | | 0.0099 | 21.01 | 15114 | 1.20...

NoteSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0325_final_lr

Source context: 5 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo d2o2ji/videomae-base-finetuned-kinetics-0325_final_lr