---
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-recognitionx
  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-recognitionx

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: 0.2575
- Accuracy: 0.9281

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1376

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.03  | 43   | 1.8151          | 0.3661   |
| 1.7589        | 1.03  | 86   | 0.9133          | 0.6915   |
| 1.7589        | 2.03  | 129  | 0.5026          | 0.7966   |
| 0.5494        | 3.03  | 172  | 0.3937          | 0.8678   |
| 0.5494        | 4.03  | 215  | 0.3943          | 0.8678   |
| 0.2747        | 5.03  | 258  | 0.3876          | 0.8678   |
| 0.2747        | 6.03  | 301  | 0.2803          | 0.9085   |
| 0.1731        | 7.03  | 345  | 0.2414          | 0.9119   |
| 0.1731        | 8.03  | 388  | 0.2434          | 0.9288   |
| 0.1165        | 9.03  | 431  | 0.1560          | 0.9458   |
| 0.1165        | 10.03 | 474  | 0.1894          | 0.9254   |
| 0.07          | 11.03 | 517  | 0.2401          | 0.9153   |
| 0.0417        | 12.03 | 560  | 0.1883          | 0.9390   |
| 0.0417        | 13.03 | 603  | 0.2589          | 0.9051   |
| 0.0362        | 14.03 | 646  | 0.2125          | 0.9492   |
| 0.0362        | 15.03 | 690  | 0.2228          | 0.9390   |
| 0.0348        | 16.03 | 733  | 0.1797          | 0.9525   |
| 0.0348        | 17.03 | 776  | 0.1728          | 0.9390   |
| 0.0129        | 18.03 | 819  | 0.2253          | 0.9254   |
| 0.0129        | 19.03 | 862  | 0.1983          | 0.9356   |
| 0.0112        | 20.03 | 905  | 0.2821          | 0.9220   |
| 0.0112        | 21.03 | 948  | 0.2527          | 0.9356   |
| 0.0165        | 22.03 | 991  | 0.2598          | 0.9288   |
| 0.0165        | 23.03 | 1035 | 0.2690          | 0.9288   |
| 0.0056        | 24.03 | 1078 | 0.2817          | 0.9220   |
| 0.0026        | 25.03 | 1121 | 0.2039          | 0.9424   |
| 0.0026        | 26.03 | 1164 | 0.2164          | 0.9458   |
| 0.0033        | 27.03 | 1207 | 0.2063          | 0.9424   |
| 0.0033        | 28.03 | 1250 | 0.1836          | 0.9525   |
| 0.0038        | 29.03 | 1293 | 0.1899          | 0.9458   |
| 0.0038        | 30.03 | 1336 | 0.1815          | 0.9492   |
| 0.0024        | 31.03 | 1376 | 0.1816          | 0.9525   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1