---
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: 0.4111
- Accuracy: 0.8710

## 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: 16
- eval_batch_size: 16
- 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: 148

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3295        | 0.13  | 19   | 2.1178          | 0.3      |
| 1.991         | 1.13  | 38   | 1.5624          | 0.5143   |
| 1.227         | 2.13  | 57   | 0.8621          | 0.7714   |
| 0.5665        | 3.13  | 76   | 0.6212          | 0.8      |
| 0.3487        | 4.13  | 95   | 0.3554          | 0.9286   |
| 0.1701        | 5.13  | 114  | 0.3597          | 0.8857   |
| 0.1036        | 6.13  | 133  | 0.2277          | 0.9286   |
| 0.089         | 7.1   | 148  | 0.1989          | 0.9143   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.11.0
- Tokenizers 0.15.1