---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-groub25-26-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-groub25-26-finetuned-SLT-subset

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: 3.2918
- Accuracy: 0.175

## 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: 4
- eval_batch_size: 4
- 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: 80

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.8617        | 0.12  | 10   | 3.6610          | 0.05     |
| 3.7699        | 1.12  | 20   | 3.6204          | 0.075    |
| 3.6954        | 2.12  | 30   | 3.5581          | 0.075    |
| 3.6068        | 3.12  | 40   | 3.4839          | 0.125    |
| 3.5152        | 4.12  | 50   | 3.4212          | 0.1      |
| 3.4311        | 5.12  | 60   | 3.3500          | 0.15     |
| 3.3605        | 6.12  | 70   | 3.3096          | 0.15     |
| 3.3102        | 7.12  | 80   | 3.2918          | 0.175    |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3