---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-Badminton_strokes-finetuned-stroke-classification_10
  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-Badminton_strokes-finetuned-stroke-classification_10

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: 0.5231
- Accuracy: 0.8551

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2450

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.3775        | 0.1004 | 246  | 1.5477          | 0.4784   |
| 0.9098        | 1.1004 | 492  | 1.2118          | 0.6965   |
| 0.6294        | 2.1004 | 738  | 1.1314          | 0.7164   |
| 0.6993        | 3.1004 | 984  | 1.1107          | 0.7333   |
| 0.4355        | 4.1004 | 1230 | 1.0774          | 0.7497   |
| 0.3388        | 5.1004 | 1476 | 1.0708          | 0.7673   |
| 0.448         | 6.1004 | 1722 | 1.1309          | 0.7678   |
| 0.2328        | 7.1004 | 1968 | 1.0999          | 0.7737   |
| 0.2329        | 8.1004 | 2214 | 1.1141          | 0.7807   |
| 0.1596        | 9.0963 | 2450 | 1.1185          | 0.7795   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0