---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-shoplifting-dataset
  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-kinetics-finetuned-shoplifting-dataset

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9494
- F1: 0.7192

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 880

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.1824        | 0.1011 | 89   | 1.0068          | 0.6832 |
| 0.334         | 1.1    | 177  | 0.9260          | 0.6805 |
| 0.2202        | 2.1    | 265  | 0.9856          | 0.7139 |
| 0.2074        | 3.1    | 353  | 0.9494          | 0.7192 |
| 0.0916        | 4.1    | 441  | 1.3867          | 0.6711 |
| 0.1092        | 5.1    | 529  | 1.3758          | 0.6920 |
| 0.0804        | 6.1    | 617  | 1.3788          | 0.6968 |
| 0.0654        | 7.1    | 705  | 1.2970          | 0.6973 |
| 0.0065        | 8.1    | 793  | 1.4780          | 0.7006 |
| 0.0024        | 9.0989 | 880  | 1.4464          | 0.7006 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1