---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-subset-check10
  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-subset-check10

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: 0.9676
- Accuracy: 0.6296

## 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: 1e-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: 1110

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6046        | 0.1   | 112  | 1.5695          | 0.2581   |
| 1.5968        | 1.1   | 224  | 1.5343          | 0.3502   |
| 1.4175        | 2.1   | 336  | 1.4348          | 0.3088   |
| 1.2801        | 3.1   | 448  | 0.9527          | 0.6774   |
| 1.1862        | 4.1   | 560  | 1.1452          | 0.5253   |
| 1.1711        | 5.1   | 672  | 0.9195          | 0.6959   |
| 1.0642        | 6.1   | 784  | 0.9303          | 0.6636   |
| 1.2081        | 7.1   | 896  | 1.0957          | 0.5714   |
| 0.9326        | 8.1   | 1008 | 0.9903          | 0.6774   |
| 0.9876        | 9.09  | 1110 | 0.9823          | 0.6820   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.1
- Datasets 2.16.1
- Tokenizers 0.15.0