
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# resnet-50-finetuned-eurosat

This model is a fine-tuned version of [MF21377197/resnet-50-finetuned-eurosat](https://huggingface.co/MF21377197/resnet-50-finetuned-eurosat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 21.6578
- Accuracy: 0.5284

## 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: 1e-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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 19.4471       | 1.0   | 351  | 25.2381         | 0.4514   |
| 14.378        | 2.0   | 703  | 24.5923         | 0.4594   |
| 20.7257       | 3.0   | 1055 | 24.3360         | 0.4706   |
| 23.0579       | 4.0   | 1407 | 17.9277         | 0.479    |
| 16.7616       | 5.0   | 1758 | 24.0013         | 0.4808   |
| 13.2407       | 6.0   | 2110 | 16.8144         | 0.4888   |
| 12.5439       | 7.0   | 2462 | 10.8161         | 0.496    |
| 10.301        | 8.0   | 2814 | 14.1573         | 0.5066   |
| 18.2068       | 9.0   | 3165 | 15.7831         | 0.5054   |
| 5.7088        | 10.0  | 3517 | 14.3309         | 0.512    |
| 18.9725       | 11.0  | 3869 | 21.6578         | 0.5284   |
| 16.9049       | 11.97 | 4212 | 12.9670         | 0.5204   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2

airplane automobile bird cat deer dog frog horse ship truck