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# vit-base-plankton

This model is a fine-tuned version of [apple/mobilevit-xx-small](https://huggingface.co/apple/mobilevit-xx-small) on the plankton_fairscope dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7642
- Accuracy: 0.8051

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5476        | 0.52  | 100  | 1.2745          | 0.7419   |
| 1.0997        | 1.04  | 200  | 0.8653          | 0.7842   |
| 0.9498        | 1.56  | 300  | 0.7642          | 0.8051   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

acantharia calanoida rhizosolenia thalassiosira nauplii_copepoda chaetoceros_chaetocerotales ciliophora eutintinnus navicula neoceratium planktoniella_sol pyrophacus rhizaria