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VideoMAE Base Wlasl 100 Signer 20ep CoR

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: 3.1409 Accuracy: 0.2367

Quellehuggingface.co/Shawon16/VideoMAE_base_wlasl_100__signer_20ep_coR/tree/220bdce6fb9ac90db949775447a25d3887b8a1b1
ArtOtherBasismodellMCG-NJU/videomae-baseVersionRevision 220bdceCBewertung

Modellquelle

Art
Other
Dateigröße
329 MB
Basismodell
MCG-NJU/videomae-base
Version
vRevision 220bdce
Aktualisiert
24. Okt. 2026
Downloads
13
Quelle
Hugging Face

Quellenbeschreibung

VideoMAE_base_wlasl_100__signer_20ep_coR

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: 3.1409
  • Accuracy: 0.2367

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • 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: 3600
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
18.66820.051804.62650.0178
18.62931.04993604.62380.0178
18.55432.04995404.61350.0178
18.30073.05017214.62310.0237
18.30884.059014.58220.0237
18.03345.049910814.54510.0207
17.53986.049912614.41640.0207
16.65537.050114424.28520.0325
16.00718.0516224.26310.0414
15.22129.049918024.04660.0621
14.198410.049919823.93050.0799
13.044111.050121633.81820.1095
11.968912.0523433.58900.1272
10.735713.049925233.49550.1598
9.682914.049927033.39520.1834
8.646215.050128843.30820.1746
7.797116.0530643.22460.2160
7.097817.049932443.20380.2308
6.48318.049934243.16050.2396
6.065119.048736003.14090.2367

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.1

Quellen

1 Quelle
Hugging FacePrimärVersion 220bdce6fb9ac90db949775447a25d3887b8a1b1
huggingface.co/Shawon16/VideoMAE_base_wlasl_100__signer_20ep_coR/tree/220bdce6fb9ac90db949775447a25d3887b8a1b1

Verifiziert 24. Okt.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 329 MB · SHA-256 fee10ef8b95d…f752 · Hugging Face

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Quellenauszüge

3 Auszüge
Readme6. Aug.huggingface.co/Shawon16/VideoMAE_base_wlasl_100__signer_20ep_coR

--- 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_wlasl_100__signer_20ep_coR 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_wlasl_100__signer_20ep_coR 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: 3.1409 - Accuracy: 0.2367 ## 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: 2 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 8 - 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: 3600 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:----:|:---------------:|:--------:| | 18.6682 | 0.05 | 180 | 4.6265 | 0.0178 | | 18.6293 | 1.0499 | 360 | 4.6238 | 0.0178 | | 18.5543 | 2.0499 | 540 | 4.6135 | 0.0178 | | 18.3007 | 3.0501 | 721 | 4.6231 | 0.0237 | | 18.3088 | 4.05 | 901 | 4.5822 | 0.0237 | | 18.0334 | 5.0499 | 1081 | 4.5451 | 0.0207 | | 17.5398 | 6.0499 | 1261 | 4.4164 | 0.0207 | | 16.6553 | 7.0501 | 1442 | 4.2852 | 0.0325 | | 16.0071 | 8.05 | 1622 | 4.2631 | 0.0414 | | 15.2212 | 9.0499 | 1802 | 4.0466 | 0.0621 | | 14.1984 | 10.0499 | 1982 | 3.9305 | 0.0799 | | 13.0441 | 11.0501 | 2163 | 3.8182 | 0.1095 | | 11.9689 | 12.05 | 2343 | 3.5890 | 0.1272 | | 10.7357 | 13.0499 | 2523 | 3.4955 | 0.1598 | | 9.6829 | 14.0499 | 2703 | 3.3952 | 0.1834 | | 8.6462 | 15.0501 | 2884 | 3.3082 | 0.1746 | | 7.7971 | 16.05 | 3064 | 3.2246 | 0.2160 | | 7.0978 | 17.0499 | 3244 | 3.2038 | 0.2308 | | 6.483 | 18.0499 | 3424 | 3.1605 | 0.2396 | | 6.0651 | 19.0487 | 3600 | 3.1409 | 0.2367 | ### Framew...

Note24. Okt.huggingface.co/Shawon16/VideoMAE_base_wlasl_100__signer_20ep_coR

Source context: 13 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo Shawon16/VideoMAE_base_wlasl_100__signer_20ep_coR

Note6. Aug.huggingface.co/Shawon16/VideoMAE_base_wlasl_100__signer_20ep_coR

Source context: 1 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo Shawon16/VideoMAE_base_wlasl_100__signer_20ep_coR