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

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: 0.1020
- Accuracy: 0.9717

## 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: 12000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.9074        | 0.1   | 1201  | 2.1151          | 0.5007   |
| 0.8521        | 1.1   | 2402  | 0.8536          | 0.7784   |
| 0.3171        | 2.1   | 3603  | 0.6226          | 0.8360   |
| 0.1523        | 3.1   | 4804  | 0.3766          | 0.8986   |
| 0.1122        | 4.1   | 6005  | 0.2525          | 0.9274   |
| 0.0261        | 5.1   | 7206  | 0.2098          | 0.9429   |
| 0.0707        | 6.1   | 8407  | 0.1900          | 0.9495   |
| 0.0038        | 7.1   | 9608  | 0.1314          | 0.9657   |
| 0.0009        | 8.1   | 10809 | 0.1177          | 0.9677   |
| 0.0011        | 9.1   | 12000 | 0.1020          | 0.9717   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1