---
license: cc-by-nc-4.0
base_model: archit11/videomae-base-finetuned-ucfcrime-full
tags:
- generated_from_trainer
model-index:
- name: videomae-base-finetuned-ucfcrime-full2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# videomae-base-finetuned-ucfcrime-full2

This model is a fine-tuned version of [archit11/videomae-base-finetuned-ucfcrime-full](https://huggingface.co./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