videomae-base-finetuned-ucfcrime-full2

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videomae-base-finetuned-ucfcrime-full2

This model is a fine-tuned version of archit11/videomae-base-finetuned-ucfcrime-full on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.5014
• eval_accuracy: 0.225
• eval_precision: 0.2362
• eval_recall: 0.1921
• eval_f1: 0.1788
• eval_runtime: 1015.705
• eval_samples_per_second: 4.883
• eval_steps_per_second: 1.221
• 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: 4
• eval_batch_size: 4
• 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: 700

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2