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Chaitanya798800
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videomae-large_ActionRecognition

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
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videomae-large_ActionRecognition / README.md
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metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
  - generated_from_trainer
model-index:
  - name: videomae-large_ActionRecognition
    results: []

videomae-large_ActionRecognition

This model is a fine-tuned version of MCG-NJU/videomae-large on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0503
  • eval_confusion_matrix: {'confusion_matrix': array([[14, 0, 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 12, 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 17, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 23, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 5, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 1, 32, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 10, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 12, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0, 7, 0], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 22]])}
  • eval_runtime: 27.1769
  • eval_samples_per_second: 5.703
  • eval_steps_per_second: 2.87
  • step: 0

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 900

Framework versions

  • Transformers 4.39.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2