Downloads · 30 days
7
11% of all-time downloads
convnextv2_femto.fcmae-finetuned-eurosat
diegomaureira/convnextv2_femto.fcmae-finetuned-eurosat
convnextv2_femto.fcmae-finetuned-eurosat is a image classification model from diegomaureira. Use it when you need a label for an image. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
62
Public
Parameters
4.9M
58.4 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors19.5 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- timm_wrapper
- Access
- Public
- Created
- Dec 31, 2025
- Updated
- Dec 31, 2025
- SHA
- dfb0d855
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
convnextv2_femto.fcmae-finetuned-eurosat
This model is a fine-tuned version of timm/convnextv2_femto.fcmae on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 3.1097
- Accuracy: 0.1792
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: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.5292 | 1.0 | 15 | 3.3680 | 0.1085 |
| 3.2749 | 2.0 | 30 | 3.1927 | 0.1509 |
| 3.1736 | 3.0 | 45 | 3.1097 | 0.1792 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.8.0+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- timm_wrapper
- License
- cc-by-nc-4.0
- Created
- Dec 31, 2025
- Updated
- Dec 31, 2025