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Videomae Base Finetuned Signlanguage Last 3

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.4821 Accuracy: 0.7281

Sourcehuggingface.co/ihsanahakiim/videomae-base-finetuned-signlanguage-last-3/tree/c39eba8f93a1e44747923887d2cb2ae6fc35f0d3
KindOtherBase modelMCG-NJU/videomae-baseVersionRevision c39eba8

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base
Version
vRevision c39eba8
Updated
Sep 28, 2026
Downloads
5
Source
Hugging Face

Source description

videomae-base-finetuned-signlanguage-last-3

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4821
  • Accuracy: 0.7281

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • 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: 0.1
  • training_steps: 12000

Training results

Training LossEpochStepValidation LossAccuracy
4.25160.0026314.24490.0134
4.23821.0026624.21490.0268
4.21992.0026934.21370.0201
4.22823.00261244.20760.0134
4.22814.00261554.20190.0201
4.21965.00261864.19150.0336
4.19056.00262174.16470.0336
4.05397.00262484.04140.0403
3.78098.00262793.83450.0940
3.46739.00263103.59410.1477
2.950110.00263413.16860.2886
2.662711.00263722.90010.3423
2.211212.00264032.57100.4295
1.889213.00264342.27800.5235
1.422114.00264652.10110.5570
1.21115.00264961.90810.6242
0.959516.00265271.77800.5705
0.649117.00265581.63380.6376
0.50718.00265891.54650.5839
0.348819.00266201.37680.6309
0.32320.00266511.50300.6040
0.270621.00266821.26430.6644
0.210322.00267131.41340.6309
0.203123.00267441.19010.6779
0.159824.00267751.30510.6644
0.148725.00268061.06020.7584
0.197426.00268371.41350.6309
0.099427.00268681.30570.6309
0.122728.00268991.18260.7114
0.106829.00269301.27940.6711
0.146230.00269611.26360.6443
0.168631.00269921.25910.6644
0.080932.002610231.26600.6443
0.118333.002610541.30760.6376
0.112934.002610851.36270.6376
0.187535.002611161.20350.6846
0.114436.002611471.16730.6846
0.149537.002611780.98080.7248
0.079438.002612091.32200.6443
0.04839.002612401.26280.6711
0.1440.002612711.38690.6309
0.142641.002613021.01810.7450
0.079742.002613331.23710.6980
0.111943.002613641.66590.6242
0.05844.002613951.25260.6644
0.076145.002614261.43940.6644
0.062646.002614571.38700.6913
0.141347.002614881.13190.7114
0.13448.002615191.13470.6980
0.02749.002615501.34570.6980
0.030250.002615811.20090.7248
0.085451.002616121.21390.7315
0.025852.002616431.33290.6577
0.103453.002616740.96880.7517
0.092654.002617051.18850.7114
0.124955.002617361.33450.6846
0.047856.002617671.58890.6577
0.043457.002617981.22020.7450
0.064958.002618291.14200.7517
0.044159.002618601.22570.7315
0.006960.002618911.28550.7114
0.032661.002619221.55720.6644
0.020862.002619531.49230.6846
0.013763.002619840.99750.7651
0.018664.002620151.13160.7114
0.009865.002620461.38240.6779
0.005366.002620771.18300.7248
0.007967.002621081.13290.7517
0.008568.002621391.34660.7114
0.008869.002621701.00100.7718
0.023970.002622011.36830.6779
0.005971.002622321.25570.7383
0.036172.002622631.59130.5973
0.030473.002622941.31680.7248
0.012574.002623251.18820.7047
0.102175.002623561.87260.5906
0.05176.002623871.35200.6913
0.011377.002624181.17210.7248
0.015778.002624491.18140.7517
0.019379.002624801.21360.7248
0.006980.002625111.25970.7248
0.025281.002625421.43230.6779
0.003182.002625731.29640.7584
0.00383.002626041.18530.7517
0.010584.002626351.13630.7517
0.00385.002626661.26120.7383
0.033786.002626971.28460.7248
0.006987.002627281.76820.6846
0.011788.002627591.42330.7383
0.005289.002627901.39810.7248
0.039790.002628211.46460.6980
0.003491.002628521.05620.7718
0.07792.002628831.16820.7517
0.006593.002629141.54530.7383
0.033394.002629451.56240.7114
0.005295.002629761.32180.7383
0.047196.002630071.23800.7517
0.019497.002630381.13900.7584
0.009898.002630691.28000.7651
0.005699.002631001.36720.7651
0.0234100.002631311.19820.7718
0.0207101.002631621.17490.7785
0.0178102.002631931.19710.7584
0.0012103.002632241.46010.7383
0.0007104.002632551.35290.7651
0.0007105.002632861.24580.7718
0.0031106.002633171.09800.7785
0.0009107.002633481.24040.7651
0.0066108.002633791.45810.7047
0.0176109.002634101.31970.7181
0.0022110.002634411.17810.7651
0.0087111.002634720.96050.7852
0.0008112.002635031.31480.7248
0.0049113.002635341.15610.7517
0.0338114.002635651.21390.7315
0.0474115.002635960.96150.8121
0.0135116.002636271.45740.7181
0.0337117.002636581.28840.7047
0.0522118.002636891.65350.6577
0.0131119.002637201.25660.7383
0.0015120.002637511.43220.7181
0.003121.002637821.13930.7651
0.0439122.002638131.24540.7383
0.0057123.002638441.11660.8054
0.0023124.002638751.05670.7987
0.0139125.002639061.05840.7517
0.0336126.002639371.06740.7718
0.0014127.002639681.15960.7718
0.0048128.002639990.83370.8121
0.0004129.002640301.06760.8054
0.0076130.002640610.87920.8121
0.0031131.002640920.84290.8389
0.0102132.002641231.02330.8054
0.0006133.002641540.98530.8054
0.0003134.002641850.93090.8322
0.001135.002642161.24040.7517
0.0067136.002642471.10840.7718
0.0011137.002642781.27280.7383
0.0047138.002643091.23440.7718
0.0181139.002643401.15050.7785
0.0021140.002643711.18090.7181
0.0153141.002644021.44850.6913
0.0356142.002644331.62880.6846
0.0051143.002644641.28420.7248
0.0105144.002644951.33140.7450
0.0812145.002645261.36860.7315
0.0005146.002645571.20990.7450
0.005147.002645881.32190.7584
0.0028148.002646191.22830.7383
0.0411149.002646501.28230.7651
0.0415150.002646811.38870.7383
0.0117151.002647121.33550.7517
0.0409152.002647431.26570.7718
0.0047153.002647741.15350.7785
0.0412154.002648051.12670.7651
0.0105155.002648361.21400.7785
0.0014156.002648671.03430.8054
0.0105157.002648981.37740.7315
0.0393158.002649291.17310.7718
0.0063159.002649601.45660.7315
0.0296160.00264991...

Sources

1 source
Hugging FacePrimaryVersion c39eba8f93a1e44747923887d2cb2ae6fc35f0d3
huggingface.co/ihsanahakiim/videomae-base-finetuned-signlanguage-last-3/tree/c39eba8f93a1e44747923887d2cb2ae6fc35f0d3

Verified Sep 18

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 392b7e2752d2…b5a5 · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 18huggingface.co/ihsanahakiim/videomae-base-finetuned-signlanguage-last-3

--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-signlanguage-last-3 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-signlanguage-last-3 This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.4821 - Accuracy: 0.7281 ## 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: 0.0001 - train_batch_size: 32 - eval_batch_size: 32 - 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: 0.1 - training_steps: 12000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:--------:|:-----:|:---------------:|:--------:| | 4.2516 | 0.0026 | 31 | 4.2449 | 0.0134 | | 4.2382 | 1.0026 | 62 | 4.2149 | 0.0268 | | 4.2199 | 2.0026 | 93 | 4.2137 | 0.0201 | | 4.2282 | 3.0026 | 124 | 4.2076 | 0.0134 | | 4.2281 | 4.0026 | 155 | 4.2019 | 0.0201 | | 4.2196 | 5.0026 | 186 | 4.1915 | 0.0336 | | 4.1905 | 6.0026 | 217 | 4.1647 | 0.0336 | | 4.0539 | 7.0026 | 248 | 4.0414 | 0.0403 | | 3.7809 | 8.0026 | 279 | 3.8345 | 0.0940 | | 3.4673 | 9.0026 | 310 | 3.5941 | 0.1477 | | 2.9501 | 10.0026 | 341 | 3.1686 | 0.2886 | | 2.6627 | 11.0026 | 372 | 2.9001 | 0.3423 | | 2.2112 | 12.0026 | 403 | 2.5710 | 0.4295 | | 1.8892 | 13.0026 | 434 | 2.2780 | 0.5235 | | 1.4221 | 14.0026 | 465 | 2.1011 | 0.5570 | | 1.211 | 15.0026 | 496 | 1.9081 | 0.6242 | | 0.9595 | 16.0026 | 527 | 1.7780 | 0.5705 | | 0.6491 | 17.0026 | 558 | 1.6338 | 0.6376 | | 0.507 | 18.0026 | 589 | 1.5465 | 0.5839 | | 0.3488 | 19.0026 | 620 | 1.3768 | 0.6309 | | 0.323 | 20.0026 | 651 | 1.5030 | 0.6040 | | 0.2706 | 21.0026 | 682 | 1.2643 | 0.6644 | | 0.2103 | 22.0026 | 713 | 1.4134...

NoteSep 18huggingface.co/ihsanahakiim/videomae-base-finetuned-signlanguage-last-3

Source context: 5 downloads · 2 likes · Pipeline video-classification · Library transformers · Repo ihsanahakiim/videomae-base-finetuned-signlanguage-last-3