---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: videomae-base-finetuned-ElderReact-anger-balancedf1
  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-balancedf1

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: 0.7432
- F1: 0.5798

## 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7339        | 0.1   | 25   | 0.6865          | 0.4463 |
| 0.7007        | 1.1   | 50   | 0.7107          | 0.0476 |
| 0.6854        | 2.1   | 75   | 0.6994          | 0.4975 |
| 0.715         | 3.1   | 100  | 0.7238          | 0.1333 |
| 0.6866        | 4.1   | 125  | 0.7563          | 0.0195 |
| 0.6564        | 5.1   | 150  | 0.7628          | 0.1564 |
| 0.5809        | 6.1   | 175  | 0.7543          | 0.3831 |
| 0.6035        | 7.1   | 200  | 0.7983          | 0.2122 |
| 0.6153        | 8.1   | 225  | 0.7542          | 0.4063 |
| 0.5099        | 9.06  | 240  | 0.7408          | 0.4526 |


### Framework versions

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