---
license: cc-by-nc-4.0
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: 0.3841
- Accuracy: 0.8851

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3750

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.369         | 0.02  | 75   | 2.2216          | 0.2973   |
| 1.8283        | 1.02  | 150  | 1.7584          | 0.4865   |
| 0.8729        | 2.02  | 225  | 1.0192          | 0.7027   |
| 0.4077        | 3.02  | 300  | 0.4849          | 0.8378   |
| 0.3742        | 4.02  | 375  | 0.1344          | 0.9730   |
| 0.094         | 5.02  | 450  | 0.2449          | 0.8919   |
| 0.1005        | 6.02  | 525  | 1.0794          | 0.7838   |
| 0.0053        | 7.02  | 600  | 0.2364          | 0.9459   |
| 0.0807        | 8.02  | 675  | 0.6659          | 0.8378   |
| 0.0031        | 9.02  | 750  | 0.4496          | 0.9189   |
| 0.0203        | 10.02 | 825  | 0.3399          | 0.9189   |
| 0.0093        | 11.02 | 900  | 0.3725          | 0.9459   |
| 0.0022        | 12.02 | 975  | 0.5498          | 0.9189   |
| 0.0017        | 13.02 | 1050 | 0.1698          | 0.9730   |
| 0.0014        | 14.02 | 1125 | 0.1923          | 0.9459   |
| 0.0014        | 15.02 | 1200 | 0.1571          | 0.9730   |
| 0.0474        | 16.02 | 1275 | 0.5193          | 0.8919   |
| 0.0011        | 17.02 | 1350 | 0.1408          | 0.9730   |
| 0.001         | 18.02 | 1425 | 0.3406          | 0.9459   |
| 0.0034        | 19.02 | 1500 | 0.2516          | 0.9459   |
| 0.0029        | 20.02 | 1575 | 0.2962          | 0.9189   |
| 0.0008        | 21.02 | 1650 | 0.4024          | 0.9189   |
| 0.0008        | 22.02 | 1725 | 0.4644          | 0.9189   |
| 0.1521        | 23.02 | 1800 | 0.4825          | 0.9189   |
| 0.001         | 24.02 | 1875 | 0.6340          | 0.9189   |
| 0.0245        | 25.02 | 1950 | 0.3779          | 0.9459   |
| 0.0007        | 26.02 | 2025 | 0.3376          | 0.9459   |
| 0.0011        | 27.02 | 2100 | 0.2833          | 0.9459   |
| 0.0008        | 28.02 | 2175 | 0.1593          | 0.9730   |
| 0.0008        | 29.02 | 2250 | 0.0856          | 0.9730   |
| 0.0005        | 30.02 | 2325 | 0.1049          | 0.9730   |
| 0.0005        | 31.02 | 2400 | 0.1132          | 0.9730   |
| 0.0005        | 32.02 | 2475 | 0.1164          | 0.9730   |
| 0.0005        | 33.02 | 2550 | 0.1243          | 0.9730   |
| 0.0005        | 34.02 | 2625 | 0.1306          | 0.9730   |
| 0.0005        | 35.02 | 2700 | 0.3919          | 0.9459   |
| 0.0004        | 36.02 | 2775 | 0.3630          | 0.9459   |
| 0.0004        | 37.02 | 2850 | 0.2762          | 0.9459   |
| 0.0005        | 38.02 | 2925 | 0.2368          | 0.9459   |
| 0.0004        | 39.02 | 3000 | 0.1935          | 0.9730   |
| 0.0004        | 40.02 | 3075 | 0.1931          | 0.9730   |
| 0.0004        | 41.02 | 3150 | 0.2139          | 0.9459   |
| 0.0004        | 42.02 | 3225 | 0.1900          | 0.9730   |
| 0.0006        | 43.02 | 3300 | 0.1751          | 0.9730   |
| 0.0004        | 44.02 | 3375 | 0.2978          | 0.9459   |
| 0.0004        | 45.02 | 3450 | 0.2777          | 0.9459   |
| 0.0004        | 46.02 | 3525 | 0.2706          | 0.9459   |
| 0.0004        | 47.02 | 3600 | 0.2638          | 0.9459   |
| 0.0004        | 48.02 | 3675 | 0.2123          | 0.9459   |
| 0.0004        | 49.02 | 3750 | 0.2106          | 0.9459   |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.8.0+cu111
- Datasets 2.7.1
- Tokenizers 0.13.2