---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Human-action-swin
  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. -->

# Human-action-swin

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5231
- Accuracy: 0.8377

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8248        | 0.99  | 78   | 0.7299          | 0.7667   |
| 0.806         | 1.99  | 157  | 0.6541          | 0.7944   |
| 0.8544        | 3.0   | 236  | 0.6443          | 0.7996   |
| 0.8503        | 4.0   | 315  | 0.5965          | 0.8179   |
| 0.7538        | 4.99  | 393  | 0.5674          | 0.8282   |
| 0.6921        | 5.99  | 472  | 0.5941          | 0.8175   |
| 0.7214        | 7.0   | 551  | 0.5721          | 0.8246   |
| 0.6402        | 8.0   | 630  | 0.5433          | 0.8361   |
| 0.5899        | 8.99  | 708  | 0.5323          | 0.8425   |
| 0.6688        | 9.99  | 787  | 0.5213          | 0.8409   |
| 0.5948        | 11.0  | 866  | 0.5244          | 0.8385   |
| 0.5818        | 11.89 | 936  | 0.5231          | 0.8377   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2