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# Human-Action-Recognition-VIT-Base-patch16-224

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4367
- Accuracy: 0.8687

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use 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
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 10.2084       | 1.0     | 40   | 2.0027          | 0.4877   |
| 5.7018        | 2.0     | 80   | 0.7764          | 0.7774   |
| 3.1984        | 3.0     | 120  | 0.5612          | 0.8329   |
| 2.6944        | 4.0     | 160  | 0.5205          | 0.8437   |
| 2.4232        | 5.0     | 200  | 0.4874          | 0.8508   |
| 2.2387        | 6.0     | 240  | 0.4712          | 0.8567   |
| 2.0735        | 7.0     | 280  | 0.4715          | 0.8552   |
| 1.9519        | 8.0     | 320  | 0.4472          | 0.8587   |
| 1.8481        | 9.0     | 360  | 0.4504          | 0.8563   |
| 1.6348        | 10.0    | 400  | 0.4512          | 0.8583   |
| 1.6713        | 11.0    | 440  | 0.4621          | 0.8579   |
| 1.5573        | 12.0    | 480  | 0.4380          | 0.8659   |
| 1.5445        | 13.0    | 520  | 0.4347          | 0.8635   |
| 1.4436        | 14.0    | 560  | 0.4385          | 0.8683   |
| 1.388         | 15.0    | 600  | 0.4379          | 0.8679   |
| 1.4061        | 16.0    | 640  | 0.4391          | 0.8647   |
| 1.3256        | 17.0    | 680  | 0.4353          | 0.8671   |
| 1.3634        | 18.0    | 720  | 0.4360          | 0.8671   |
| 1.3661        | 19.0    | 760  | 0.4366          | 0.8679   |
| 1.3606        | 19.5063 | 780  | 0.4367          | 0.8687   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0

calling clapping cycling dancing drinking eating fighting hugging laughing listening_to_music running sitting sleeping texting using_laptop