---
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-anger-balanced
  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-anger-balanced

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: 0.7506
- Accuracy: 0.4304

## 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: 240

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7241        | 0.1   | 25   | 0.6946          | 0.5595   |
| 0.7205        | 1.1   | 50   | 0.7031          | 0.5095   |
| 0.6897        | 2.1   | 75   | 0.6989          | 0.5119   |
| 0.6771        | 3.1   | 100  | 0.7334          | 0.5190   |
| 0.6668        | 4.1   | 125  | 0.7564          | 0.5238   |
| 0.5922        | 5.1   | 150  | 0.7603          | 0.5167   |
| 0.6092        | 6.1   | 175  | 0.7496          | 0.5286   |
| 0.5803        | 7.1   | 200  | 0.8512          | 0.5405   |
| 0.6102        | 8.1   | 225  | 0.8050          | 0.5238   |
| 0.4901        | 9.06  | 240  | 0.7805          | 0.5238   |


### Framework versions

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