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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
TypeOtherModèle de baseMCG-NJU/videomae-baseVersionRevision c39eba8

Source du modèle

Type
Other
Taille du fichier
329 MB
Modèle de base
MCG-NJU/videomae-base
Version
vRevision c39eba8
Mis à jour
28 sept. 2026
Téléchargements
5
Source
Hugging Face

Description de la source

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 FacePrincipalVersion c39eba8f93a1e44747923887d2cb2ae6fc35f0d3
huggingface.co/ihsanahakiim/videomae-base-finetuned-signlanguage-last-3/tree/c39eba8f93a1e44747923887d2cb2ae6fc35f0d3

Vérifié 18 sept.

Artefacts du modèle

1 artefact

model.safetensors

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

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Extraits de sources

2 extraits
Readme18 sept.huggingface.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...

Note18 sept.huggingface.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