---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf1012bovi-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-ucf1012bovi-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: 0.6819
- Accuracy: 0.6667

## 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: 280

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7118        | 0.13  | 36   | 0.6814          | 0.5714   |
| 0.8238        | 1.13  | 72   | 0.6641          | 0.5714   |
| 0.6892        | 2.13  | 108  | 0.6935          | 0.4762   |
| 0.7013        | 3.13  | 144  | 0.6819          | 0.6667   |
| 0.6871        | 4.13  | 180  | 0.6751          | 0.5714   |
| 0.7159        | 5.13  | 216  | 0.6854          | 0.5238   |
| 0.6884        | 6.13  | 252  | 0.6735          | 0.6667   |
| 0.6905        | 7.1   | 280  | 0.6739          | 0.6190   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2