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

This model is a fine-tuned version of [MCG-NJU/videomae-base-ssv2](https://huggingface.co/MCG-NJU/videomae-base-ssv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2337
- Accuracy: 0.4571

## 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: 3200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.419         | 0.25  | 800  | 0.6122          | 0.76     |
| 1.2475        | 1.25  | 1600 | 1.4005          | 0.6038   |
| 0.0131        | 2.25  | 2400 | 1.2546          | 0.685    |
| 0.1379        | 3.25  | 3200 | 0.9228          | 0.7712   |


### Framework versions

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