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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

Fuentehuggingface.co/ihsanahakiim/videomae-base-finetuned-signlanguage-last-3/tree/c39eba8f93a1e44747923887d2cb2ae6fc35f0d3
TipoOtherModelo baseMCG-NJU/videomae-baseVersiónRevision c39eba8

Fuente del modelo

Tipo
Other
Tamaño del archivo
329 MB
Modelo base
MCG-NJU/videomae-base
Versión
vRevision c39eba8
Actualizado
28 sept 2026
Descargas
5
Fuente
Hugging Face

Descripción de la fuente

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...

Fuentes

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

Verificado 18 sept

Artefactos del modelo

1 artefacto

model.safetensors

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

Descargar

Extractos de fuentes

2 extractos
Readme18 septhuggingface.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 septhuggingface.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