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

This model is a fine-tuned version of [MCG-NJU/videomae-base-short-ssv2](https://huggingface.co/MCG-NJU/videomae-base-short-ssv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8796
- Accuracy: 0.0556

## 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: 1
- eval_batch_size: 1
- 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: 68

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.1181        | 0.25  | 17   | 2.8796          | 0.0556   |
| 3.0203        | 1.25  | 34   | 2.8795          | 0.0556   |
| 2.9871        | 2.25  | 51   | 2.8519          | 0.0556   |
| 2.8281        | 3.25  | 68   | 2.8441          | 0.0556   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3