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# img_class_beans

This model is a fine-tuned version of [juniorjukeko/img_class_beans](https://huggingface.co/juniorjukeko/img_class_beans) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1220
- Accuracy: 0.9730

## 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: 143
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1122        | 0.98  | 12   | 0.1660          | 0.9575   |
| 0.1356        | 1.96  | 24   | 0.1977          | 0.9421   |
| 0.0889        | 2.94  | 36   | 0.1504          | 0.9421   |
| 0.0793        | 4.0   | 49   | 0.1477          | 0.9575   |
| 0.0578        | 4.98  | 61   | 0.1320          | 0.9653   |
| 0.0514        | 5.96  | 73   | 0.1163          | 0.9730   |
| 0.0592        | 6.94  | 85   | 0.1363          | 0.9653   |
| 0.0532        | 8.0   | 98   | 0.1837          | 0.9382   |
| 0.0555        | 8.98  | 110  | 0.1400          | 0.9614   |
| 0.0723        | 9.8   | 120  | 0.1220          | 0.9730   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

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