---
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-masa
  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-masa

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: 0.0031
- Accuracy: 1.0

## 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: 9e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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: 225

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.601         | 0.0667  | 15   | 1.3659          | 0.8      |
| 1.5638        | 1.0667  | 30   | 1.4763          | 0.4      |
| 1.1535        | 2.0667  | 45   | 1.2764          | 0.6      |
| 0.637         | 3.0667  | 60   | 0.6158          | 0.8      |
| 0.809         | 4.0667  | 75   | 1.1473          | 0.4      |
| 0.6648        | 5.0667  | 90   | 0.6767          | 0.6      |
| 0.4322        | 6.0667  | 105  | 0.8144          | 0.8      |
| 0.3076        | 7.0667  | 120  | 0.1087          | 1.0      |
| 0.0364        | 8.0667  | 135  | 0.1052          | 1.0      |
| 0.0037        | 9.0667  | 150  | 0.0106          | 1.0      |
| 0.0027        | 10.0667 | 165  | 0.0075          | 1.0      |
| 0.0029        | 11.0667 | 180  | 0.0058          | 1.0      |
| 0.0049        | 12.0667 | 195  | 0.0033          | 1.0      |
| 0.0028        | 13.0667 | 210  | 0.0031          | 1.0      |
| 0.0027        | 14.0667 | 225  | 0.0031          | 1.0      |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1