---
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: 0.5280
- Accuracy: 0.8051

## 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: 1300

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.5307        | 0.1008 | 131  | 0.5135          | 0.7897   |
| 0.7467        | 1.1008 | 262  | 0.4954          | 0.7863   |
| 0.5834        | 2.1008 | 393  | 0.5522          | 0.7419   |
| 0.5894        | 3.1008 | 524  | 0.5229          | 0.8171   |
| 0.536         | 4.1008 | 655  | 0.4529          | 0.8154   |
| 0.5135        | 5.1008 | 786  | 0.4495          | 0.8205   |
| 0.4498        | 6.1008 | 917  | 0.5333          | 0.8034   |
| 0.5968        | 7.1008 | 1048 | 0.5310          | 0.8205   |
| 0.5063        | 8.1008 | 1179 | 0.5089          | 0.8137   |
| 0.4491        | 9.0931 | 1300 | 0.5280          | 0.8051   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1