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# activity_classification

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7087
- Accuracy: 0.8012

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7167        | 1.0   | 157  | 1.6188          | 0.6964   |
| 1.0511        | 2.0   | 315  | 1.0981          | 0.7381   |
| 0.9184        | 3.0   | 472  | 0.9225          | 0.7710   |
| 0.7396        | 4.0   | 630  | 0.8333          | 0.7802   |
| 0.6873        | 5.0   | 787  | 0.7917          | 0.7849   |
| 0.6579        | 6.0   | 945  | 0.7510          | 0.7845   |
| 0.5857        | 7.0   | 1102 | 0.7672          | 0.7845   |
| 0.4968        | 8.0   | 1260 | 0.7467          | 0.7857   |
| 0.513         | 9.0   | 1417 | 0.7156          | 0.7940   |
| 0.4957        | 9.97  | 1570 | 0.7073          | 0.8024   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0

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