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RALL RGBmasking Aug16F 8B16F

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: 1.3708 Accuracy: 0.8012

Sourcehuggingface.co/TanAlexanderlz/RALL_RGBmasking_Aug16F-8B16F/tree/2d637cc9e47fd31a4b80ac49b860d13d2e4d6526
KindOtherBase modelMCG-NJU/videomae-base-finetuned-kineticsVersionRevision 2d637ccBgrade

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base-finetuned-kinetics
Version
vRevision 2d637cc
Updated
Sep 21, 2026
Downloads
16
Source
Hugging Face

Source description

RALL_RGBmasking_Aug16F-8B16F

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: 1.3708
  • Accuracy: 0.8012

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 OptimizerNames.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: 3372

Training results

Training LossEpochStepValidation LossAccuracy
0.37940.08362820.78300.7583
0.10141.08365640.91720.8083
0.10982.08368461.16300.8146
0.00093.083611281.31650.7979
0.04.083614101.37700.8063
0.05.083616921.21230.8313
0.06.083619741.35530.8208
0.07.083622561.46540.8208
0.08.083625381.39370.8208
0.09.083628201.43040.8292

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Sources

1 source
Hugging FacePrimaryVersion 2d637cc9e47fd31a4b80ac49b860d13d2e4d6526
huggingface.co/TanAlexanderlz/RALL_RGBmasking_Aug16F-8B16F/tree/2d637cc9e47fd31a4b80ac49b860d13d2e4d6526

Verified Sep 5

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 b9d0065b6e17…d14d · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 5huggingface.co/TanAlexanderlz/RALL_RGBmasking_Aug16F-8B16F

--- 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: RALL_RGBmasking_Aug16F-8B16F 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. --> # RALL_RGBmasking_Aug16F-8B16F 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: 1.3708 - Accuracy: 0.8012 ## 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 OptimizerNames.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: 3372 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.3794 | 0.0836 | 282 | 0.7830 | 0.7583 | | 0.1014 | 1.0836 | 564 | 0.9172 | 0.8083 | | 0.1098 | 2.0836 | 846 | 1.1630 | 0.8146 | | 0.0009 | 3.0836 | 1128 | 1.3165 | 0.7979 | | 0.0 | 4.0836 | 1410 | 1.3770 | 0.8063 | | 0.0 | 5.0836 | 1692 | 1.2123 | 0.8313 | | 0.0 | 6.0836 | 1974 | 1.3553 | 0.8208 | | 0.0 | 7.0836 | 2256 | 1.4654 | 0.8208 | | 0.0 | 8.0836 | 2538 | 1.3937 | 0.8208 | | 0.0 | 9.0836 | 2820 | 1.4304 | 0.8292 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1

NoteSep 5huggingface.co/TanAlexanderlz/RALL_RGBmasking_Aug16F-8B16F

Source context: 16 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo TanAlexanderlz/RALL_RGBmasking_Aug16F-8B16F