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# classification_INE_v2-finetuned-eurosat

This model is a fine-tuned version of [judith0/classification_INE_v2](https://huggingface.co/judith0/classification_INE_v2) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0682
- Accuracy: 0.9681

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.89  | 6    | 0.0682          | 0.9681   |
| 0.0563        | 1.93  | 13   | 0.0963          | 0.9574   |
| 0.0563        | 2.67  | 18   | 0.0870          | 0.9574   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

other anverso reverso