---
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: 0.3756
- Model Preparation Time: 0.0017
- Accuracy: 0.9161

## 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: 148

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:|
| 2.1284        | 0.2568 | 38   | 1.8426          | 0.0017                 | 0.4286   |
| 0.8904        | 1.2568 | 76   | 0.7788          | 0.0017                 | 0.7429   |
| 0.3888        | 2.2568 | 114  | 0.4578          | 0.0017                 | 0.7714   |
| 0.2734        | 3.2297 | 148  | 0.3996          | 0.0017                 | 0.7571   |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.2.2
- Datasets 2.21.0
- Tokenizers 0.19.1