---
license: apache-2.0
base_model: facebook/convnext-base-224-22k-1k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: convnext-base-224-22k-1k-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. -->

# convnext-base-224-22k-1k-finetuned-eurosat

This model is a fine-tuned version of [facebook/convnext-base-224-22k-1k](https://huggingface.co/facebook/convnext-base-224-22k-1k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4190
- Accuracy: 0.8483

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6643        | 0.99  | 70   | 0.6090          | 0.7754   |
| 0.4729        | 2.0   | 141  | 0.4641          | 0.8253   |
| 0.3858        | 2.98  | 210  | 0.4190          | 0.8483   |


### Framework versions

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