---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-epoch20
  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-epoch20

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: 1.8347
- Accuracy: 0.7704

## 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: 79120

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.9278        | 0.05  | 3956  | 2.7016          | 0.3483   |
| 0.6674        | 1.05  | 7912  | 1.5344          | 0.5915   |
| 0.7501        | 2.05  | 11868 | 1.5602          | 0.6477   |
| 0.3266        | 3.05  | 15824 | 1.6153          | 0.6807   |
| 0.6674        | 4.05  | 19780 | 1.5007          | 0.7147   |
| 0.0025        | 5.05  | 23736 | 1.5732          | 0.7065   |
| 0.4971        | 6.05  | 27692 | 1.7131          | 0.7176   |
| 0.0001        | 7.05  | 31648 | 1.5947          | 0.7482   |
| 0.0003        | 8.05  | 35604 | 2.0551          | 0.6958   |
| 0.2192        | 9.05  | 39560 | 1.7950          | 0.7356   |
| 0.1505        | 10.05 | 43516 | 1.9480          | 0.7160   |
| 0.0           | 11.05 | 47472 | 1.5406          | 0.7573   |
| 0.0016        | 12.05 | 51428 | 1.9811          | 0.7207   |
| 0.0005        | 13.05 | 55384 | 1.8196          | 0.7385   |
| 0.0           | 14.05 | 59340 | 1.8393          | 0.7520   |
| 0.0           | 15.05 | 63296 | 1.6738          | 0.7667   |
| 0.0           | 16.05 | 67252 | 1.7355          | 0.7594   |
| 0.0416        | 17.05 | 71208 | 1.7013          | 0.7638   |
| 0.0           | 18.05 | 75164 | 1.6373          | 0.7709   |
| 0.0           | 19.05 | 79120 | 1.5901          | 0.7763   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3