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

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: 0.2554
- Accuracy: 0.9470

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2728

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7115        | 0.03  | 85   | 1.4196          | 0.4      |
| 1.0097        | 1.03  | 170  | 0.7807          | 0.6759   |
| 0.6192        | 2.03  | 255  | 0.7952          | 0.7034   |
| 0.4713        | 3.03  | 341  | 0.6536          | 0.7931   |
| 0.3973        | 4.03  | 426  | 0.3638          | 0.8690   |
| 0.3633        | 5.03  | 511  | 0.3616          | 0.8966   |
| 0.2336        | 6.03  | 596  | 0.4579          | 0.8966   |
| 0.1997        | 7.03  | 682  | 1.5970          | 0.6069   |
| 0.2738        | 8.03  | 767  | 0.4102          | 0.8690   |
| 0.2492        | 9.03  | 852  | 0.7651          | 0.8345   |
| 0.1568        | 10.03 | 937  | 0.8561          | 0.8138   |
| 0.1856        | 11.03 | 1023 | 0.2811          | 0.9241   |
| 0.1296        | 12.03 | 1108 | 0.3444          | 0.9172   |
| 0.0782        | 13.03 | 1193 | 0.3423          | 0.9241   |
| 0.14          | 14.03 | 1278 | 0.3122          | 0.9241   |
| 0.0689        | 15.03 | 1364 | 0.3534          | 0.9172   |
| 0.036         | 16.03 | 1449 | 0.4815          | 0.9103   |
| 0.0695        | 17.03 | 1534 | 0.5698          | 0.8828   |
| 0.0618        | 18.03 | 1619 | 0.3053          | 0.9310   |
| 0.0553        | 19.03 | 1705 | 0.3443          | 0.9241   |
| 0.0301        | 20.03 | 1790 | 0.1427          | 0.9586   |
| 0.0412        | 21.03 | 1875 | 0.5619          | 0.8690   |
| 0.0492        | 22.03 | 1960 | 0.5701          | 0.8897   |
| 0.0171        | 23.03 | 2046 | 0.6377          | 0.8690   |
| 0.0181        | 24.03 | 2131 | 0.5981          | 0.8828   |
| 0.0305        | 25.03 | 2216 | 0.3178          | 0.9448   |
| 0.0393        | 26.03 | 2301 | 0.5434          | 0.9103   |
| 0.0248        | 27.03 | 2387 | 0.4097          | 0.9241   |
| 0.0146        | 28.03 | 2472 | 0.4427          | 0.9103   |
| 0.012         | 29.03 | 2557 | 0.5619          | 0.9034   |
| 0.0065        | 30.03 | 2642 | 0.5384          | 0.9103   |
| 0.009         | 31.03 | 2728 | 0.5014          | 0.9172   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1