---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-Accident-Video-subset
  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. -->

# finetuned-Accident-Video-subset

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: 1.0765
- Accuracy: 0.5161

## 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: 4
- eval_batch_size: 4
- 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: 90

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5898        | 0.13  | 12   | 1.3173          | 0.48     |
| 1.2104        | 1.13  | 24   | 1.2157          | 0.4      |
| 1.418         | 2.13  | 36   | 1.1617          | 0.52     |
| 1.1202        | 3.13  | 48   | 1.1279          | 0.52     |
| 1.2226        | 4.13  | 60   | 1.1111          | 0.48     |
| 1.1886        | 5.13  | 72   | 1.0728          | 0.48     |
| 1.0177        | 6.13  | 84   | 1.0453          | 0.56     |
| 1.0443        | 7.07  | 90   | 1.0378          | 0.56     |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1