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# bit-50-finetuned-landscape-test

This model is a fine-tuned version of [google/bit-50](https://huggingface.co/google/bit-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1774
- Accuracy: 0.9366

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 252224972.8   | 0.9684 | 23   | 0.4457          | 0.8217   |
| 0.4535        | 1.9789 | 47   | 0.2388          | 0.9168   |
| 0.3491        | 2.9895 | 71   | 0.2022          | 0.9300   |
| 818423.4      | 4.0    | 95   | 0.1818          | 0.9339   |
| 0.2255        | 4.8421 | 115  | 0.1774          | 0.9366   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1

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