---
library_name: transformers
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
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# 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: 0.5372
- Accuracy: 0.7978

## 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: 265

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.2682        | 0.2038 | 54   | 2.0374          | 0.3214   |
| 1.0997        | 1.2038 | 108  | 1.0029          | 0.6667   |
| 0.6996        | 2.2038 | 162  | 0.7633          | 0.7857   |
| 0.7031        | 3.2038 | 216  | 0.5940          | 0.7857   |
| 0.4078        | 4.1849 | 265  | 0.5297          | 0.8452   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.2
- Tokenizers 0.19.1