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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: 0.4165
- Accuracy: 0.8782

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 2.6245        | 0.9873  | 39   | 2.0901          | 0.4429   |
| 1.4804        | 2.0     | 79   | 0.7998          | 0.7841   |
| 0.8447        | 2.9873  | 118  | 0.5635          | 0.8345   |
| 0.6764        | 4.0     | 158  | 0.4952          | 0.8476   |
| 0.6202        | 4.9873  | 197  | 0.4849          | 0.8595   |
| 0.5627        | 6.0     | 237  | 0.4604          | 0.8643   |
| 0.5219        | 6.9873  | 276  | 0.4567          | 0.8663   |
| 0.4912        | 8.0     | 316  | 0.4371          | 0.8718   |
| 0.4736        | 8.9873  | 355  | 0.4320          | 0.8671   |
| 0.4347        | 10.0    | 395  | 0.4229          | 0.8746   |
| 0.4274        | 10.9873 | 434  | 0.4211          | 0.8734   |
| 0.4011        | 12.0    | 474  | 0.4234          | 0.8762   |
| 0.3845        | 12.9873 | 513  | 0.4247          | 0.8742   |
| 0.3797        | 14.0    | 553  | 0.4193          | 0.8746   |
| 0.374         | 14.9873 | 592  | 0.4204          | 0.8766   |
| 0.3567        | 16.0    | 632  | 0.4165          | 0.8782   |
| 0.3565        | 16.9873 | 671  | 0.4212          | 0.8742   |
| 0.3375        | 18.0    | 711  | 0.4241          | 0.875    |
| 0.3366        | 18.9873 | 750  | 0.4221          | 0.875    |
| 0.3338        | 19.7468 | 780  | 0.4215          | 0.8766   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1

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