---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-V6KILLER
  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-kinetics-V6KILLER

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1568
- Accuracy: 0.9508

## 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: 15
- eval_batch_size: 15
- 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: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1861        | 0.1   | 51   | 0.1321          | 0.9549   |
| 0.2014        | 1.1   | 102  | 0.1460          | 0.9416   |
| 0.0963        | 2.1   | 153  | 0.2060          | 0.9240   |
| 0.1975        | 3.1   | 204  | 0.2031          | 0.9382   |
| 0.1017        | 4.1   | 255  | 0.1010          | 0.9574   |
| 0.1589        | 5.1   | 306  | 0.2064          | 0.9073   |
| 0.0272        | 6.1   | 357  | 0.1119          | 0.9549   |
| 0.0424        | 7.1   | 408  | 0.1136          | 0.9591   |
| 0.0239        | 8.1   | 459  | 0.2198          | 0.9416   |
| 0.0897        | 9.08  | 500  | 0.1715          | 0.9533   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0