---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-SSBD_Augm_v2
  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-SSBD_Augm_v2

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: 0.9006
- Accuracy: 0.6190

## 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: 12
- eval_batch_size: 12
- 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: 350

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0891        | 0.12  | 42   | 0.9088          | 0.6      |
| 1.0414        | 1.12  | 84   | 1.1233          | 0.4      |
| 0.7054        | 2.12  | 126  | 1.0407          | 0.44     |
| 1.0071        | 3.12  | 168  | 1.6254          | 0.2      |
| 0.2627        | 4.12  | 210  | 2.7735          | 0.24     |
| 0.0226        | 5.12  | 252  | 4.1474          | 0.12     |
| 0.0065        | 6.12  | 294  | 4.5980          | 0.08     |
| 0.012         | 7.12  | 336  | 4.6877          | 0.08     |
| 0.0027        | 8.04  | 350  | 4.6653          | 0.08     |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3