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videomae-base-finetuned-ucfcrime-full2 – AI Model by archit11 | AlphaNeural AI

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archit11/
videomae-base-finetuned-ucfcrime-full2

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video-classification

generated_from_trainer

archit11/videomae-base-finetuned-ucfcrime-full

endpoints_compatible

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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