---
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
  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

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: 0.1677
- Accuracy: 0.9806

## 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: 1850

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 2.3124        | 0.0205  | 38   | 2.2579          | 0.1857   |
| 2.1472        | 1.0205  | 76   | 2.0229          | 0.4286   |
| 1.3692        | 2.0205  | 114  | 1.3557          | 0.4857   |
| 0.6782        | 3.0205  | 152  | 0.5930          | 0.7571   |
| 0.4244        | 4.0205  | 190  | 0.4616          | 0.8286   |
| 0.2646        | 5.0205  | 228  | 0.3399          | 0.9      |
| 0.1           | 6.0205  | 266  | 0.1133          | 0.9714   |
| 0.2128        | 7.0205  | 304  | 0.7523          | 0.8      |
| 0.0967        | 8.0205  | 342  | 0.5267          | 0.8429   |
| 0.0971        | 9.0205  | 380  | 0.3907          | 0.9143   |
| 0.0939        | 10.0205 | 418  | 0.1479          | 0.9571   |
| 0.2974        | 11.0205 | 456  | 0.3272          | 0.9      |
| 0.0306        | 12.0205 | 494  | 0.2917          | 0.9      |
| 0.0036        | 13.0205 | 532  | 0.1893          | 0.9429   |
| 0.0742        | 14.0205 | 570  | 0.2095          | 0.9429   |
| 0.0071        | 15.0205 | 608  | 0.1195          | 0.9714   |
| 0.0027        | 16.0205 | 646  | 0.1051          | 0.9571   |
| 0.0022        | 17.0205 | 684  | 0.0845          | 0.9714   |
| 0.0019        | 18.0205 | 722  | 0.2177          | 0.9286   |
| 0.0015        | 19.0205 | 760  | 0.2222          | 0.9571   |
| 0.01          | 20.0205 | 798  | 0.0353          | 0.9857   |
| 0.0045        | 21.0205 | 836  | 0.0630          | 0.9714   |
| 0.0014        | 22.0205 | 874  | 0.0316          | 0.9714   |
| 0.0014        | 23.0205 | 912  | 0.0420          | 0.9857   |
| 0.002         | 24.0205 | 950  | 0.3080          | 0.9286   |
| 0.1012        | 25.0205 | 988  | 0.1244          | 0.9571   |
| 0.0012        | 26.0205 | 1026 | 0.1970          | 0.9429   |
| 0.0011        | 27.0205 | 1064 | 0.1381          | 0.9571   |
| 0.0012        | 28.0205 | 1102 | 0.0515          | 0.9714   |
| 0.0022        | 29.0205 | 1140 | 0.1643          | 0.9571   |
| 0.0909        | 30.0205 | 1178 | 0.1082          | 0.9714   |
| 0.001         | 31.0205 | 1216 | 0.0079          | 1.0      |
| 0.001         | 32.0205 | 1254 | 0.0047          | 1.0      |
| 0.001         | 33.0205 | 1292 | 0.0038          | 1.0      |
| 0.001         | 34.0205 | 1330 | 0.0039          | 1.0      |
| 0.0013        | 35.0205 | 1368 | 0.3373          | 0.9286   |
| 0.0009        | 36.0205 | 1406 | 0.1716          | 0.9714   |
| 0.0011        | 37.0205 | 1444 | 0.1124          | 0.9857   |
| 0.0008        | 38.0205 | 1482 | 0.1068          | 0.9857   |
| 0.0008        | 39.0205 | 1520 | 0.0920          | 0.9857   |
| 0.0008        | 40.0205 | 1558 | 0.0893          | 0.9857   |
| 0.0008        | 41.0205 | 1596 | 0.0890          | 0.9857   |
| 0.0009        | 42.0205 | 1634 | 0.0912          | 0.9857   |
| 0.0008        | 43.0205 | 1672 | 0.0898          | 0.9857   |
| 0.0008        | 44.0205 | 1710 | 0.0868          | 0.9857   |
| 0.0008        | 45.0205 | 1748 | 0.0758          | 0.9857   |
| 0.0008        | 46.0205 | 1786 | 0.0743          | 0.9857   |
| 0.0117        | 47.0205 | 1824 | 0.0734          | 0.9857   |
| 0.0008        | 48.0141 | 1850 | 0.0738          | 0.9857   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0