---
library_name: transformers
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-furtos
  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-furtos

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: 0.3482
- Accuracy: 1.0

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.125 | 1    | 0.6633          | 0.5      |
| No log        | 1.125 | 2    | 0.5622          | 0.75     |
| No log        | 2.125 | 3    | 0.4896          | 0.85     |
| No log        | 3.125 | 4    | 0.4415          | 0.95     |
| No log        | 4.125 | 5    | 0.4049          | 1.0      |
| No log        | 5.125 | 6    | 0.3768          | 1.0      |
| No log        | 6.125 | 7    | 0.3576          | 1.0      |
| No log        | 7.125 | 8    | 0.3482          | 1.0      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.3.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1