---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-Risky-situations
  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-Risky-situations

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2880
- Accuracy: 0.8462

## 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: 250

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4854        | 0.1   | 25   | 0.0940          | 1.0      |
| 0.2925        | 1.1   | 50   | 0.0021          | 1.0      |
| 0.0187        | 2.1   | 75   | 0.3059          | 0.9167   |
| 0.0004        | 3.1   | 100  | 2.2330          | 0.6667   |
| 0.0005        | 4.1   | 125  | 0.0003          | 1.0      |
| 0.0003        | 5.1   | 150  | 0.0003          | 1.0      |
| 0.3102        | 6.1   | 175  | 1.2503          | 0.75     |
| 0.0003        | 7.1   | 200  | 0.0002          | 1.0      |
| 0.0002        | 8.1   | 225  | 0.0003          | 1.0      |
| 0.0002        | 9.1   | 250  | 0.0004          | 1.0      |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1