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Videomae Base Finetuned Kinetics 0403 Final Only5sec Retry

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: 0.8258 Accuracy: 0.7900

Sourcehuggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0403_final_only5sec_retry/tree/e8619c754729961c9193425964f13fae1328d300
KindOtherBase modelMCG-NJU/videomae-base-finetuned-kineticsVersionRevision e8619c7

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base-finetuned-kinetics
Version
vRevision e8619c7
Updated
Sep 18, 2026
Downloads
3
Source
Hugging Face

Source description

videomae-base-finetuned-kinetics-0403_final_only5sec_retry

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: 0.8258
  • Accuracy: 0.7900

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: 62100

Training results

Training LossEpochStepValidation LossAccuracy
0.08110.01006220.31010.8648
0.00681.010012440.59770.8141
0.00112.010018660.77450.8203
0.02763.010024880.67270.8541
0.61544.010031100.65800.8399
0.11485.010037320.76950.8274
0.00536.010043540.85140.7945
0.00077.010049760.72080.8238
0.00148.010055981.37920.7375
0.00279.010062200.37910.8959
1.16310.010068421.38930.7456
0.017811.010074641.17410.7820
0.00912.010080860.69410.8470
0.00413.010087080.96890.8274
1.006414.010093300.78090.8230
0.000315.010099521.18430.7918
0.001216.0100105740.65990.8594
0.039517.0100111960.67610.8799
0.000518.0100118181.01490.8158
0.731319.0100124401.36130.7811
0.000420.0100130620.91870.8390
1.63821.0100136840.83020.8692
0.000222.0100143060.92760.8568
0.001123.0100149281.00310.8568
0.000224.0100155500.94530.8568

Framework versions

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

Sources

1 source
Hugging FacePrimaryVersion e8619c754729961c9193425964f13fae1328d300
huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0403_final_only5sec_retry/tree/e8619c754729961c9193425964f13fae1328d300

Verified Sep 18

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 d2843743e17e…96fe · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0403_final_only5sec_retry

--- 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-0403_final_only5sec_retry 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-0403_final_only5sec_retry 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: 0.8258 - Accuracy: 0.7900 ## 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: 62100 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 0.0811 | 0.0100 | 622 | 0.3101 | 0.8648 | | 0.0068 | 1.0100 | 1244 | 0.5977 | 0.8141 | | 0.0011 | 2.0100 | 1866 | 0.7745 | 0.8203 | | 0.0276 | 3.0100 | 2488 | 0.6727 | 0.8541 | | 0.6154 | 4.0100 | 3110 | 0.6580 | 0.8399 | | 0.1148 | 5.0100 | 3732 | 0.7695 | 0.8274 | | 0.0053 | 6.0100 | 4354 | 0.8514 | 0.7945 | | 0.0007 | 7.0100 | 4976 | 0.7208 | 0.8238 | | 0.0014 | 8.0100 | 5598 | 1.3792 | 0.7375 | | 0.0027 | 9.0100 | 6220 | 0.3791 | 0.8959 | | 1.163 | 10.0100 | 6842 | 1.3893 | 0.7456 | | 0.0178 | 11.0100 | 7464 | 1.1741 | 0.7820 | | 0.009 | 12.0100 | 8086 | 0.6941 | 0.8470 | | 0.004 | 13.0100 | 8708 | 0.9689 | 0.8274 | | 1.0064 | 14.0100 | 9330 | 0.7809 | 0.8230 | | 0.0003 | 15.0100 | 9952 | 1.1843 | 0.7918 | | 0.0012 | 16.0100 | 10574 | 0.6599 | 0.8594 | | 0.0395 | 17.0100 | 11196 | 0.6761 | 0.8799 | | 0.0005 | 18.0100 | 11818 | 1.0149 | 0.8158 | | 0.7313 | 19.0100 | 12440 | 1.3613 | 0.7811 | | 0.0004 | 20...

NoteSep 18huggingface.co/d2o2ji/videomae-base-finetuned-kinetics-0403_final_only5sec_retry

Source context: 3 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo d2o2ji/videomae-base-finetuned-kinetics-0403_final_only5sec_retry