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Videomae Base Wlasl 2000 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: 7.7331 Accuracy: 0.0051

Sourcehuggingface.co/Shawon16/videomae_base_wlasl_2000_20ep_coR/tree/f8519f9bef0826117315015555a99cba165701c6
KindOtherBase modelMCG-NJU/videomae-baseVersionRevision f8519f9Bgrade

Model source

Kind
Other
File size
335 MB
Base model
MCG-NJU/videomae-base
Version
vRevision f8519f9
Updated
Oct 24, 2026
Downloads
10
Source
Hugging Face

Source description

videomae_base_wlasl_2000_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: 7.7331
  • Accuracy: 0.0051

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: 35720
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
30.6470.0517867.63290.0015
30.53941.050035727.61230.0010
30.42882.050053587.59180.0015
30.25643.050071457.59090.0026
30.07494.0589317.61500.0028
29.81255.0500107177.66000.0020
29.51336.0500125037.69930.0023
29.17777.0500142907.72460.0028
28.87518.05160767.76380.0028
28.54769.0500178627.78680.0031
28.218310.0500196487.76970.0028
27.858111.0500214357.77970.0031
27.524312.05232217.78420.0049
27.188213.0500250077.77810.0036
26.845914.0500267937.77160.0043
26.50715.0500285807.75950.0041
26.230216.05303667.75060.0051
25.957117.0500321527.74190.0054
25.725718.0500339387.73760.0051
25.542419.0499357207.73310.0051

Framework versions

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

Sources

1 source
Hugging FacePrimaryVersion f8519f9bef0826117315015555a99cba165701c6
huggingface.co/Shawon16/videomae_base_wlasl_2000_20ep_coR/tree/f8519f9bef0826117315015555a99cba165701c6

Verified Oct 24

Model artifacts

1 artifact

model.safetensors

safetensors · 335 MB · SHA-256 5e23b2a17ffa…1920 · Hugging Face

Download file

Source excerpts

3 excerpts
ReadmeAug 6huggingface.co/Shawon16/videomae_base_wlasl_2000_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_2000_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_2000_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: 7.7331 - Accuracy: 0.0051 ## 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: 35720 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 30.647 | 0.05 | 1786 | 7.6329 | 0.0015 | | 30.5394 | 1.0500 | 3572 | 7.6123 | 0.0010 | | 30.4288 | 2.0500 | 5358 | 7.5918 | 0.0015 | | 30.2564 | 3.0500 | 7145 | 7.5909 | 0.0026 | | 30.0749 | 4.05 | 8931 | 7.6150 | 0.0028 | | 29.8125 | 5.0500 | 10717 | 7.6600 | 0.0020 | | 29.5133 | 6.0500 | 12503 | 7.6993 | 0.0023 | | 29.1777 | 7.0500 | 14290 | 7.7246 | 0.0028 | | 28.8751 | 8.05 | 16076 | 7.7638 | 0.0028 | | 28.5476 | 9.0500 | 17862 | 7.7868 | 0.0031 | | 28.2183 | 10.0500 | 19648 | 7.7697 | 0.0028 | | 27.8581 | 11.0500 | 21435 | 7.7797 | 0.0031 | | 27.5243 | 12.05 | 23221 | 7.7842 | 0.0049 | | 27.1882 | 13.0500 | 25007 | 7.7781 | 0.0036 | | 26.8459 | 14.0500 | 26793 | 7.7716 | 0.0043 | | 26.507 | 15.0500 | 28580 | 7.7595 | 0.0041 | | 26.2302 | 16.05 | 30366 | 7.7506 | 0.0051 | | 25.9571 | 17.0500 | 32152 | 7.7419 | 0.0054 | | 25.7257 | 18.0500 | 33938 | 7.7376 | 0.0051 | | 25.5424 | 19.0499 | 35720 | 7.7331 | 0.0051...

NoteOct 24huggingface.co/Shawon16/videomae_base_wlasl_2000_20ep_coR

Source context: 10 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo Shawon16/videomae_base_wlasl_2000_20ep_coR

NoteAug 6huggingface.co/Shawon16/videomae_base_wlasl_2000_20ep_coR

Source context: 4 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo Shawon16/videomae_base_wlasl_2000_20ep_coR