---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-ssv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ssv2-finetuned-samsung-subset
  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-ssv2-finetuned-samsung-subset

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5762
- Accuracy: 0.8041

## 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: 8
- eval_batch_size: 8
- 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: 408

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.608         | 0.25  | 103  | 1.5651          | 0.5497   |
| 0.7421        | 1.25  | 206  | 0.9050          | 0.7271   |
| 0.6384        | 2.25  | 309  | 0.6470          | 0.7963   |
| 0.3902        | 3.24  | 408  | 0.5762          | 0.8041   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+rocm5.4.2
- Datasets 2.14.4
- Tokenizers 0.13.3