---
license: apache-2.0
base_model: microsoft/cvt-13
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cvt-13-finetuned-eurosat
  results: []
---

<!-- 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. -->

# cvt-13-finetuned-eurosat

This model is a fine-tuned version of [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4821
- Accuracy: 0.3846

## 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        | 0.8421 | 4    | 1.6279          | 0.1923   |
| No log        | 1.8947 | 9    | 1.5128          | 0.3462   |
| 1.5802        | 2.5263 | 12   | 1.4821          | 0.3846   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1