---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-good-gestureUnitV11
  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-good-gestureUnitV11

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:
- Accuracy: 0.9310
- Loss: 0.3025
- Accuracy Gunit: 0.8571
- Accuracy Nothing: 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: 80

### Training results

| Training Loss | Epoch  | Step | Accuracy | Validation Loss | Accuracy Gunit | Accuracy Nothing |
|:-------------:|:------:|:----:|:--------:|:---------------:|:--------------:|:----------------:|
| 0.6685        | 0.2125 | 17   | 0.6071   | 0.6297          | 1.0            | 0.2903           |
| 0.5348        | 1.2125 | 34   | 0.8214   | 0.4292          | 0.6            | 1.0              |
| 0.3395        | 2.2125 | 51   | 0.7857   | 0.4852          | 0.88           | 0.7097           |
| 0.3607        | 3.2125 | 68   | 0.8214   | 0.4507          | 0.6            | 1.0              |
| 0.2436        | 4.15   | 80   | 0.7857   | 0.4433          | 0.76           | 0.8065           |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1