---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-sample8
  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-short-finetuned-ssv2-finetuned-rwf2000-epochs8-sample8

This model is a fine-tuned version of [MCG-NJU/videomae-base-short-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-short-finetuned-ssv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2493
- Accuracy: 0.3857

## 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: 2
- eval_batch_size: 2
- 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: 6400

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6783        | 0.12  | 800  | 0.5823          | 0.8175   |
| 0.7397        | 1.12  | 1600 | 2.2365          | 0.5475   |
| 0.206         | 2.12  | 2400 | 1.4244          | 0.6375   |
| 0.0431        | 3.12  | 3200 | 0.9144          | 0.7525   |
| 0.0033        | 4.12  | 4000 | 0.7622          | 0.825    |
| 0.0011        | 5.12  | 4800 | 1.0658          | 0.775    |
| 0.001         | 6.12  | 5600 | 1.6892          | 0.6875   |
| 0.2392        | 7.12  | 6400 | 1.1574          | 0.7825   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2