---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-Accident-MultipleLabels-Video-subset-v2
  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-MultipleLabels-Video-subset-v2

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: 1.7815
- Accuracy: 0.2593

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.08  | 4    | 2.0559          | 0.0156   |
| No log        | 1.08  | 8    | 1.9961          | 0.1719   |
| 1.7392        | 2.08  | 12   | 2.1035          | 0.3594   |
| 1.7392        | 3.08  | 16   | 2.0893          | 0.3438   |
| 1.4679        | 4.08  | 20   | 2.0625          | 0.2031   |
| 1.4679        | 5.08  | 24   | 1.9845          | 0.3125   |
| 1.4679        | 6.08  | 28   | 1.9829          | 0.3125   |
| 1.3757        | 7.08  | 32   | 1.9941          | 0.3438   |
| 1.3757        | 8.08  | 36   | 2.0449          | 0.3125   |
| 1.2956        | 9.08  | 40   | 2.0877          | 0.3281   |
| 1.2956        | 10.08 | 44   | 2.1224          | 0.3281   |
| 1.2956        | 11.08 | 48   | 2.1418          | 0.3281   |
| 1.2352        | 12.04 | 50   | 2.1479          | 0.3281   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.0.dev20231202+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0