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# edit-training-arg

This model is a fine-tuned version of [vuongnhathien/SwinV2-30VNFood](https://huggingface.co/vuongnhathien/SwinV2-30VNFood) on the jbarat/plant_species dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3643
- Accuracy: 0.5875

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 10   | 0.7014          | 0.7375   |
| No log        | 2.0   | 20   | 0.5727          | 0.75     |
| No log        | 3.0   | 30   | 0.7431          | 0.7875   |
| No log        | 4.0   | 40   | 0.7550          | 0.7875   |
| No log        | 5.0   | 50   | 0.6643          | 0.7875   |
| No log        | 6.0   | 60   | 0.6035          | 0.8625   |
| No log        | 7.0   | 70   | 0.8655          | 0.8375   |
| No log        | 8.0   | 80   | 0.7624          | 0.825    |
| No log        | 9.0   | 90   | 0.6606          | 0.85     |
| 0.2933        | 10.0  | 100  | 0.6476          | 0.85     |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2

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