---
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: 0.8124
- Accuracy: 0.8324

## 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: 1
- eval_batch_size: 1
- 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: 3990

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1012        | 0.1   | 398  | 1.9809          | 0.38     |
| 1.0416        | 1.1   | 796  | 1.6140          | 0.56     |
| 0.2096        | 2.1   | 1194 | 1.5776          | 0.66     |
| 0.7101        | 3.1   | 1592 | 1.2004          | 0.74     |
| 1.2344        | 4.1   | 1990 | 1.9621          | 0.58     |
| 0.1809        | 5.1   | 2388 | 1.6322          | 0.71     |
| 0.0011        | 6.1   | 2786 | 1.8266          | 0.71     |
| 0.0951        | 7.1   | 3184 | 1.5910          | 0.78     |
| 0.4047        | 8.1   | 3582 | 1.9999          | 0.7      |
| 0.0011        | 9.1   | 3980 | 1.5903          | 0.78     |
| 0.001         | 10.0  | 3990 | 1.5903          | 0.78     |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2