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VideoMAE BdSLW60 FrameRate Corrected WITHOUT Augment 20 Epoch RQ GB

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: 1.5110 Accuracy: 0.75 Precision: 0.7751 Recall: 0.75 F1: 0.7160

Sourcehuggingface.co/Shawon16/VideoMAE_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB/tree/681119eb204f1dbb9e851a65b7cd36e76ec5d0f3
KindOtherBase modelMCG-NJU/videomae-baseVersionRevision 681119e

Model source

Kind
Other
File size
329 MB
Base model
MCG-NJU/videomae-base
Version
vRevision 681119e
Updated
Sep 18, 2026
Downloads
2
Source
Hugging Face

Source description

VideoMAE_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB

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: 1.5110
  • Accuracy: 0.75
  • Precision: 0.7751
  • Recall: 0.75
  • F1: 0.7160

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: 18560
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1
9.370.05019292.64350.38670.36780.38670.3116
1.01371.050118581.17300.68830.70460.68830.6376
0.20852.050127870.76370.78170.79700.78170.7487
0.12413.050137161.20590.73830.77990.73830.7021
0.04664.050146451.59940.73170.73890.73170.6956
0.22355.050155740.88610.8150.84280.8150.7941
0.13356.050165031.62150.750.76100.750.7153
0.08827.050174321.52390.75830.78900.75830.7463
0.07168.050183611.43190.7750.79990.7750.7471
0.00769.050192901.71820.75330.76030.75330.7160
0.227710.0501102191.51100.750.77510.750.7160

Framework versions

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

Sources

1 source
Hugging FacePrimaryVersion 681119eb204f1dbb9e851a65b7cd36e76ec5d0f3
huggingface.co/Shawon16/VideoMAE_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB/tree/681119eb204f1dbb9e851a65b7cd36e76ec5d0f3

Verified Sep 18

Model artifacts

1 artifact

model.safetensors

safetensors · 329 MB · SHA-256 88f0bd186ec3…160d · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 18huggingface.co/Shawon16/VideoMAE_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB

--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base tags: - generated_from_trainer metrics: - accuracy - precision - recall - f1 model-index: - name: VideoMAE_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB 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_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB 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: 1.5110 - Accuracy: 0.75 - Precision: 0.7751 - Recall: 0.75 - F1: 0.7160 ## 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: 18560 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |:-------------:|:-------:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:| | 9.37 | 0.0501 | 929 | 2.6435 | 0.3867 | 0.3678 | 0.3867 | 0.3116 | | 1.0137 | 1.0501 | 1858 | 1.1730 | 0.6883 | 0.7046 | 0.6883 | 0.6376 | | 0.2085 | 2.0501 | 2787 | 0.7637 | 0.7817 | 0.7970 | 0.7817 | 0.7487 | | 0.1241 | 3.0501 | 3716 | 1.2059 | 0.7383 | 0.7799 | 0.7383 | 0.7021 | | 0.0466 | 4.0501 | 4645 | 1.5994 | 0.7317 | 0.7389 | 0.7317 | 0.6956 | | 0.2235 | 5.0501 | 5574 | 0.8861 | 0.815 | 0.8428 | 0.815 | 0.7941 | | 0.1335 | 6.0501 | 6503 | 1.6215 | 0.75 | 0.7610 | 0.75 | 0.7153 | | 0.0882 | 7.0501 | 7432 | 1.5239 | 0.7583 | 0.7890 | 0.7583 | 0.7463 | | 0.0716 | 8.0501 | 8361 | 1.4319 | 0.775 | 0.7999 | 0.775 | 0.7471 | | 0.0076 | 9.0501 | 9290 | 1.7182 | 0.7533 | 0.7603 | 0.7533 | 0.7160 | | 0.2277 | 10.0501 | 10219...

NoteSep 18huggingface.co/Shawon16/VideoMAE_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB

Source context: 2 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo Shawon16/VideoMAE_BdSLW60_FrameRate_Corrected_WITHOUT_Augment_20_epoch_RQ_GB