violence_detection / 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: violence_detection
    results: []

violence_detection

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:

  • Loss: 0.5124

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 35 0.8953
No log 2.0 70 0.8102
No log 3.0 105 0.5775
No log 4.0 140 0.6276
No log 5.0 175 0.6347
No log 6.0 210 0.5628
No log 7.0 245 0.7472
No log 8.0 280 0.5381
No log 9.0 315 0.6392
No log 10.0 350 0.7861

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1