---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
model-index:
- name: videomae-large_14class_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_14class_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: 2.1336
- eval_confusion_matrix: {'confusion_matrix': array([[  5,   6,   0,  11,   5,   1,  17,   1,   0,   0,   0,   6,   0,
          0],
       [ 25,  76,   0,   9,  53,   0,  36,   1,  24,   1,   0,  13,   5,
          0],
       [  0,   0,  31,   0,   2,   0,   0,   0,   0,   0,   0,   0,   9,
          7],
       [ 11,  21,   0,  52,   3,   0,  40,   2,   1,   1,   0,   0,  19,
          1],
       [ 21,   9,   0,   1, 113,   0,  21,   2,   0,  30,   0,   1,  12,
         43],
       [  1,   2,  13,   0,   0,  39,   1,   0,   0,   1,   0,   0,  12,
          1],
       [  3,  15,   1,  23,   8,   0,  58,   0,   0,   6,   0,  23,   1,
          4],
       [  0,   0,   0,   0,   0,   0,   0, 430,   0,   0,   0,   0,   0,
          0],
       [  3,  11,   1,   2,   1,   2,   3,   0,  25,   3,   0,   4,   7,
          0],
       [  0,  19,   0,   9,  17,   0,  18,  57,   0,  22,   0,  56,   0,
          0],
       [  0,  11,   0,   6,   9,   0,   3,   3,   2,   0,   5,   3,  24,
          0],
       [  0,   5,   0,   0,   0,   0,   5,  11,   0,   9,   0,  40,   0,
          0],
       [  0,  40,   2,  19,   9,   0,   9,  44,   3,   0,   1,  30, 120,
         11],
       [  0,   4,   1,  12,   2,   1,   0,   0,   0,   7,   0,  11,   6,
         68]])}
- eval_runtime: 888.8746
- eval_samples_per_second: 2.459
- eval_steps_per_second: 1.23
- 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: 5560

### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2