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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-finetuned-bekhoaxe
    results: []

videomae-base-finetuned-bekhoaxe

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0202
  • Accuracy: 0.9887

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: 848

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.337 0.25 212 0.1345 0.9509
0.5753 1.25 424 0.0557 0.9789
0.1747 2.25 636 0.0092 0.9965
0.001 3.25 848 0.0051 0.9965

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2