---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-ASD_Eye_Contact_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-ASD_Eye_Contact_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: 0.5594
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.1   | 1    | 0.5182          | 1.0      |
| No log        | 1.1   | 2    | 0.3872          | 1.0      |
| No log        | 2.1   | 3    | 0.2654          | 1.0      |
| No log        | 3.1   | 4    | 0.1842          | 1.0      |
| No log        | 4.1   | 5    | 0.1304          | 1.0      |
| No log        | 5.1   | 6    | 0.0937          | 1.0      |
| No log        | 6.1   | 7    | 0.0733          | 1.0      |
| No log        | 7.1   | 8    | 0.0603          | 1.0      |
| No log        | 8.1   | 9    | 0.0525          | 1.0      |
| 0.2147        | 9.1   | 10   | 0.0489          | 1.0      |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1