metadata

library_name: transformers
license: mit
base_model: prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vivit-b-16x2-kinetics400-UCF-Crime-finetuned-AbnormalVideosOnly
    results: []

vivit-b-16x2-kinetics400-UCF-Crime-finetuned-AbnormalVideosOnly

This model is a fine-tuned version of prathameshdalal/vivit-b-16x2-kinetics400-UCF-Crime on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.6304
Accuracy: 0.0962

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: 8
eval_batch_size: 8
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: 202

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.5324	0.5050	102	2.6516	0.0739
2.4308	1.4950	202	2.6304	0.0962

Framework versions

Transformers 4.47.1
Pytorch 2.1.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0