---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
model-index:
- name: videomae-large_7class_UCFCrime
  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-large_7class_UCFCrime

This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.1295
- eval_confusion_matrix: {'confusion_matrix': array([[  7,   0,   1,   1,  39,   4,   0],
       [ 47,  42,   1,   0, 110,  43,   0],
       [  1,   0,  37,   2,   0,   0,   9],
       [  1,   0,  16,  52,   1,   0,   0],
       [  4,   0,   1,   1, 107,  22,   7],
       [  0,   0,   0,   0,  16,  54,   0],
       [  0,   0,   4,   2,  14,  33,  59]])}
- eval_runtime: 327.6535
- eval_samples_per_second: 2.252
- eval_steps_per_second: 1.126
- 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: 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: 2875

### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2