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# convnextv2-tiny-1k-224-finetuned-beans

This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9837
- Accuracy: 0.6381

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7177        | 1.0   | 269  | 0.6939          | 0.5224   |
| 0.6132        | 2.0   | 538  | 0.6692          | 0.6101   |
| 0.642         | 3.0   | 807  | 0.6729          | 0.5951   |
| 0.6431        | 4.0   | 1076 | 0.6700          | 0.5690   |
| 0.5081        | 5.0   | 1345 | 0.7537          | 0.6213   |
| 0.4114        | 6.0   | 1614 | 0.9249          | 0.6175   |
| 0.3991        | 7.0   | 1883 | 0.9837          | 0.6381   |
| 0.2194        | 8.0   | 2152 | 1.4350          | 0.5802   |
| 0.0834        | 9.0   | 2421 | 1.3808          | 0.6138   |
| 0.15          | 10.0  | 2690 | 1.3277          | 0.6306   |


### Framework versions

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

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