---
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: 1.0844
- Accuracy: 0.7320

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 832

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 4.238         | 0.0168  | 14   | 4.2235          | 0.0180   |
| 4.2658        | 1.0168  | 28   | 4.2075          | 0.0203   |
| 4.219         | 2.0168  | 42   | 4.2053          | 0.0158   |
| 4.2146        | 3.0168  | 56   | 4.2098          | 0.0225   |
| 4.1925        | 4.0168  | 70   | 4.1824          | 0.0225   |
| 4.1192        | 5.0168  | 84   | 4.0819          | 0.0383   |
| 4.0297        | 6.0168  | 98   | 3.9819          | 0.0698   |
| 3.7134        | 7.0168  | 112  | 3.7340          | 0.1036   |
| 3.5289        | 8.0168  | 126  | 3.4205          | 0.1802   |
| 3.0625        | 9.0168  | 140  | 3.1970          | 0.2613   |
| 2.8776        | 10.0168 | 154  | 2.9350          | 0.3018   |
| 2.6375        | 11.0168 | 168  | 2.7630          | 0.3604   |
| 2.2954        | 12.0168 | 182  | 2.4991          | 0.4279   |
| 2.1337        | 13.0168 | 196  | 2.3827          | 0.4324   |
| 1.8195        | 14.0168 | 210  | 2.2312          | 0.4820   |
| 1.6436        | 15.0168 | 224  | 2.3629          | 0.4459   |
| 1.6289        | 16.0168 | 238  | 2.1512          | 0.4752   |
| 1.2957        | 17.0168 | 252  | 2.0142          | 0.5023   |
| 1.2761        | 18.0168 | 266  | 1.9061          | 0.5270   |
| 1.1118        | 19.0168 | 280  | 1.8113          | 0.5495   |
| 0.9642        | 20.0168 | 294  | 1.7280          | 0.6036   |
| 0.894         | 21.0168 | 308  | 1.8723          | 0.5383   |
| 0.7974        | 22.0168 | 322  | 1.6585          | 0.6059   |
| 0.833         | 23.0168 | 336  | 1.5996          | 0.6149   |
| 0.6431        | 24.0168 | 350  | 1.5609          | 0.6149   |
| 0.5873        | 25.0168 | 364  | 1.6108          | 0.6171   |
| 0.5554        | 26.0168 | 378  | 1.4014          | 0.6532   |
| 0.4786        | 27.0168 | 392  | 1.4335          | 0.6622   |
| 0.4252        | 28.0168 | 406  | 1.4445          | 0.6509   |
| 0.382         | 29.0168 | 420  | 1.3915          | 0.6622   |
| 0.365         | 30.0168 | 434  | 1.2978          | 0.6847   |
| 0.319         | 31.0168 | 448  | 1.3218          | 0.6824   |
| 0.3167        | 32.0168 | 462  | 1.3496          | 0.6644   |
| 0.2797        | 33.0168 | 476  | 1.2806          | 0.6802   |
| 0.2864        | 34.0168 | 490  | 1.2191          | 0.7072   |
| 0.2927        | 35.0168 | 504  | 1.2135          | 0.7207   |
| 0.2698        | 36.0168 | 518  | 1.2507          | 0.6914   |
| 0.2333        | 37.0168 | 532  | 1.2038          | 0.7095   |
| 0.2366        | 38.0168 | 546  | 1.1517          | 0.7207   |
| 0.1886        | 39.0168 | 560  | 1.2074          | 0.7095   |
| 0.1804        | 40.0168 | 574  | 1.1658          | 0.7027   |
| 0.1778        | 41.0168 | 588  | 1.2350          | 0.6824   |
| 0.1728        | 42.0168 | 602  | 1.1638          | 0.7162   |
| 0.1998        | 43.0168 | 616  | 1.2359          | 0.6959   |
| 0.1727        | 44.0168 | 630  | 1.2321          | 0.6937   |
| 0.1564        | 45.0168 | 644  | 1.1605          | 0.7140   |
| 0.1888        | 46.0168 | 658  | 1.1609          | 0.7095   |
| 0.1227        | 47.0168 | 672  | 1.1588          | 0.7117   |
| 0.134         | 48.0168 | 686  | 1.1698          | 0.7072   |
| 0.1622        | 49.0168 | 700  | 1.2014          | 0.6982   |
| 0.1391        | 50.0168 | 714  | 1.1006          | 0.7162   |
| 0.1276        | 51.0168 | 728  | 1.1485          | 0.6892   |
| 0.1222        | 52.0168 | 742  | 1.0802          | 0.7140   |
| 0.1024        | 53.0168 | 756  | 1.1243          | 0.7050   |
| 0.1186        | 54.0168 | 770  | 1.0909          | 0.7297   |
| 0.1121        | 55.0168 | 784  | 1.1351          | 0.7095   |
| 0.1284        | 56.0168 | 798  | 1.1095          | 0.7275   |
| 0.0893        | 57.0168 | 812  | 1.0844          | 0.7320   |
| 0.0878        | 58.0168 | 826  | 1.0804          | 0.7297   |
| 0.0887        | 59.0072 | 832  | 1.0809          | 0.7297   |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0