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videomae-base-finetuned-sphar

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-finetuned-sphar
    results: []

videomae-base-finetuned-sphar

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: 0.9060
  • Accuracy: 0.7428

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: 3752

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.1838 0.2463 924 1.1104 0.7292
1.0275 1.2463 1848 0.9165 0.7214
0.6294 2.2463 2772 0.9556 0.7409
1.2754 3.2463 3696 0.9022 0.7444
0.6501 4.0149 3752 0.9060 0.7428

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1