---
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-new2
  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-new2

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: 1.8100
- Accuracy: 0.2963

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.13  | 4    | 1.8680          | 0.0938   |
| No log        | 1.13  | 8    | 1.9307          | 0.0469   |
| 1.7131        | 2.13  | 12   | 2.0182          | 0.0312   |
| 1.7131        | 3.13  | 16   | 1.9762          | 0.0625   |
| 1.4337        | 4.13  | 20   | 1.9643          | 0.0469   |
| 1.4337        | 5.13  | 24   | 1.9054          | 0.0625   |
| 1.4337        | 6.13  | 28   | 1.8946          | 0.0938   |
| 1.4096        | 7.07  | 30   | 1.8918          | 0.0938   |


### Framework versions

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