---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ElderReact-Disgust11
  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-ElderReact-Disgust11

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: 0.4435
- Accuracy: 0.84

## 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: 16
- eval_batch_size: 16
- 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: 380

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5481        | 0.1   | 39   | 0.4982          | 0.8003   |
| 0.5849        | 1.1   | 78   | 0.5341          | 0.7877   |
| 0.4385        | 2.1   | 117  | 0.5429          | 0.7952   |
| 0.4998        | 3.1   | 156  | 0.5279          | 0.7977   |
| 0.4388        | 4.1   | 195  | 0.5301          | 0.7475   |
| 0.5161        | 5.1   | 234  | 0.5100          | 0.7952   |
| 0.3919        | 6.1   | 273  | 0.6200          | 0.6658   |
| 0.4039        | 7.1   | 312  | 0.6265          | 0.6847   |
| 0.4199        | 8.1   | 351  | 0.7621          | 0.5678   |
| 0.4675        | 9.08  | 380  | 0.5825          | 0.7023   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2