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---
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
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