---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset-hand
  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-ucf101-subset-hand

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: 0.4523
- Accuracy: 0.8529

## 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: 1200

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.6881        | 15.0042 | 200  | 1.6327          | 0.1765   |
| 1.6118        | 30.0083 | 400  | 1.6022          | 0.2353   |
| 1.3647        | 46.0017 | 600  | 1.3752          | 0.3824   |
| 0.6254        | 61.0058 | 800  | 1.4182          | 0.3529   |
| 0.4048        | 76.01   | 1000 | 0.6370          | 0.8235   |
| 0.1016        | 92.0033 | 1200 | 0.4523          | 0.8529   |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.20.0