---
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-gesturePhaseV5
  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-gesturePhaseV5

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: 0.6871
- Loss: 0.9822
- Accuracy Hold: 0.0
- Accuracy Stroke: 0.0
- Accuracy Recovery: 0.0
- Accuracy Preparation: 0.9221
- Accuracy Unknown: 0.8571

## 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: 1e-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: 1380

### Training results

| Training Loss | Epoch   | Step | Accuracy | Validation Loss | Accuracy Hold | Accuracy Stroke | Accuracy Recovery | Accuracy Preparation | Accuracy Unknown |
|:-------------:|:-------:|:----:|:--------:|:---------------:|:-------------:|:---------------:|:-----------------:|:--------------------:|:----------------:|
| 1.1475        | 0.0507  | 70   | 0.5597   | 1.2558          | 0.0           | 0.0             | 0.0               | 1.0                  | 0.0              |
| 1.2103        | 1.0507  | 140  | 0.5597   | 1.2704          | 0.0           | 0.0             | 0.0               | 1.0                  | 0.0              |
| 0.9964        | 2.0507  | 210  | 0.5597   | 1.2142          | 0.0           | 0.0             | 0.0               | 1.0                  | 0.0              |
| 0.9975        | 3.0507  | 280  | 0.5970   | 1.0747          | 0.0           | 0.0             | 0.0               | 0.9733               | 0.2692           |
| 1.0538        | 4.0507  | 350  | 0.6642   | 0.9622          | 0.0           | 0.0             | 0.0               | 0.88                 | 0.8846           |
| 1.0321        | 5.0507  | 420  | 0.6567   | 0.9451          | 0.0           | 0.0             | 0.0               | 0.8533               | 0.9231           |
| 0.7822        | 6.0507  | 490  | 0.7164   | 0.8797          | 0.0           | 0.0             | 0.0833            | 0.96                 | 0.8846           |
| 0.8743        | 7.0507  | 560  | 0.6791   | 0.9399          | 0.0           | 0.0             | 0.0833            | 0.8533               | 1.0              |
| 0.7515        | 8.0507  | 630  | 0.6791   | 0.9290          | 0.0           | 0.0             | 0.0               | 0.8667               | 1.0              |
| 0.8525        | 9.0507  | 700  | 0.7090   | 0.8447          | 0.0           | 0.0             | 0.1667            | 0.9467               | 0.8462           |
| 0.7661        | 10.0507 | 770  | 0.7090   | 0.7857          | 0.0           | 0.0             | 0.1667            | 0.9067               | 0.9615           |
| 0.8363        | 11.0507 | 840  | 0.6866   | 0.8165          | 0.0           | 0.0             | 0.0833            | 0.92                 | 0.8462           |
| 0.659         | 12.0507 | 910  | 0.7164   | 0.7951          | 0.0           | 0.0             | 0.1667            | 0.9067               | 1.0              |
| 0.6274        | 13.0507 | 980  | 0.7015   | 0.7754          | 0.0           | 0.0             | 0.0833            | 0.8933               | 1.0              |
| 0.7292        | 14.0507 | 1050 | 0.6791   | 0.8128          | 0.0           | 0.0             | 0.25              | 0.8267               | 1.0              |
| 0.7447        | 15.0507 | 1120 | 0.6866   | 0.7860          | 0.0           | 0.0             | 0.25              | 0.84                 | 1.0              |
| 0.5512        | 16.0507 | 1190 | 0.7015   | 0.7839          | 0.0625        | 0.0             | 0.1667            | 0.8667               | 1.0              |
| 0.3404        | 17.0507 | 1260 | 0.7015   | 0.8055          | 0.0           | 0.0             | 0.3333            | 0.8533               | 1.0              |
| 0.4406        | 18.0507 | 1330 | 0.6866   | 0.7800          | 0.0           | 0.0             | 0.1667            | 0.8533               | 1.0              |
| 0.6358        | 19.0362 | 1380 | 0.7015   | 0.7816          | 0.0           | 0.0             | 0.1667            | 0.88                 | 1.0              |


### Framework versions

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