---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
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: 0.2061
- Accuracy: 0.9484

## 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: 600

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9543        | 0.12  | 75   | 1.5145          | 0.6      |
| 0.7175        | 1.12  | 150  | 0.9735          | 0.6571   |
| 0.2914        | 2.12  | 225  | 0.4764          | 0.8      |
| 0.54          | 3.12  | 300  | 0.6036          | 0.8      |
| 0.1074        | 4.12  | 375  | 0.1995          | 0.9286   |
| 0.0087        | 5.12  | 450  | 0.1256          | 0.9714   |
| 0.0061        | 6.12  | 525  | 0.0466          | 0.9857   |
| 0.0082        | 7.12  | 600  | 0.0363          | 0.9857   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0