---
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: 0.1051
- Accuracy: 0.9677

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3017        | 0.02  | 75   | 2.3034          | 0.1286   |
| 1.9471        | 1.02  | 150  | 1.9157          | 0.3714   |
| 0.9752        | 2.02  | 225  | 0.9294          | 0.6714   |
| 0.4076        | 3.02  | 300  | 0.3997          | 0.8143   |
| 0.4284        | 4.02  | 375  | 0.6502          | 0.7714   |
| 0.1713        | 5.02  | 450  | 0.3226          | 0.8714   |
| 0.4188        | 6.02  | 525  | 0.6348          | 0.8429   |
| 0.0101        | 7.02  | 600  | 0.4137          | 0.9143   |
| 0.0126        | 8.02  | 675  | 0.1349          | 0.9429   |
| 0.0444        | 9.02  | 750  | 1.0845          | 0.8      |
| 0.0023        | 10.02 | 825  | 0.1856          | 0.9      |
| 0.0018        | 11.02 | 900  | 0.2485          | 0.9143   |
| 0.0017        | 12.02 | 975  | 0.0677          | 0.9714   |
| 0.0429        | 13.02 | 1050 | 0.1233          | 0.9286   |
| 0.0035        | 14.02 | 1125 | 0.3002          | 0.9571   |
| 0.0013        | 15.02 | 1200 | 0.1211          | 0.9857   |
| 0.001         | 16.02 | 1275 | 0.1264          | 0.9714   |
| 0.0013        | 17.02 | 1350 | 0.2979          | 0.9429   |
| 0.0714        | 18.02 | 1425 | 0.4232          | 0.9143   |
| 0.0011        | 19.02 | 1500 | 0.3415          | 0.9286   |
| 0.001         | 20.02 | 1575 | 0.1736          | 0.9286   |
| 0.0007        | 21.02 | 1650 | 0.2461          | 0.9429   |
| 0.0008        | 22.02 | 1725 | 0.3369          | 0.9286   |
| 0.0007        | 23.02 | 1800 | 0.1453          | 0.9571   |
| 0.0007        | 24.02 | 1875 | 0.1013          | 0.9857   |
| 0.0006        | 25.02 | 1950 | 0.1100          | 0.9857   |
| 0.0006        | 26.02 | 2025 | 0.1088          | 0.9857   |
| 0.0006        | 27.02 | 2100 | 0.1165          | 0.9714   |
| 0.0006        | 28.02 | 2175 | 0.0660          | 0.9857   |
| 0.0007        | 29.02 | 2250 | 0.2951          | 0.9429   |
| 0.0005        | 30.02 | 2325 | 0.0896          | 0.9857   |
| 0.0007        | 31.02 | 2400 | 0.1059          | 0.9857   |
| 0.0005        | 32.02 | 2475 | 0.0989          | 0.9857   |
| 0.0005        | 33.02 | 2550 | 0.0771          | 0.9857   |
| 0.0005        | 34.02 | 2625 | 0.0759          | 0.9857   |
| 0.0005        | 35.02 | 2700 | 0.0803          | 0.9857   |
| 0.0004        | 36.02 | 2775 | 0.0892          | 0.9857   |
| 0.0004        | 37.02 | 2850 | 0.1913          | 0.9571   |
| 0.0004        | 38.02 | 2925 | 0.4228          | 0.9429   |
| 0.0004        | 39.02 | 3000 | 0.4060          | 0.9429   |
| 0.0004        | 40.02 | 3075 | 0.3824          | 0.9429   |
| 0.0951        | 41.02 | 3150 | 0.4202          | 0.9429   |
| 0.0004        | 42.02 | 3225 | 0.1987          | 0.9571   |
| 0.0004        | 43.02 | 3300 | 0.1764          | 0.9571   |
| 0.0004        | 44.02 | 3375 | 0.1509          | 0.9571   |
| 0.0004        | 45.02 | 3450 | 0.1498          | 0.9571   |
| 0.0004        | 46.02 | 3525 | 0.1441          | 0.9714   |
| 0.0004        | 47.02 | 3600 | 0.1332          | 0.9714   |
| 0.0004        | 48.02 | 3675 | 0.1573          | 0.9714   |
| 0.0003        | 49.02 | 3750 | 0.1616          | 0.9714   |


### Framework versions

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