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videomae-base-finetuned-ucfcrimepre

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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videomae-base-finetuned-ucfcrimepre / README.md
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metadata
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-finetuned-ucfcrimepre
    results: []

videomae-base-finetuned-ucfcrimepre

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: 1.6006
  • Accuracy: 0.5685

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
  • 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: 328

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.9467 0.2530 83 2.1566 0.2245
1.5504 1.2530 166 2.1364 0.2843
1.7049 2.2530 249 2.3915 0.2868
1.1891 3.2409 328 2.0801 0.3292

Framework versions

  • Transformers 4.47.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3