Downloads · 30 days
7
1% of all-time downloads
vedt-lg
dmartincc/vedt-lg
vedt-lg is a image classification model from dmartincc. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
541
Public
Parameters
85.8M
4.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Jun 27, 2024
- Updated
- Mar 12, 2025
- SHA
- f922968d
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. -->
vedt-lg
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1817
- F1: 0.93
- Roc Auc: 0.95
- Accuracy: 0.92
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.5369 | 1.0 | 122 | 0.5339 | 0.53 | 0.67 | 0.41 |
| 0.3995 | 2.0 | 245 | 0.3591 | 0.8 | 0.84 | 0.73 |
| 0.2357 | 3.0 | 367 | 0.2492 | 0.89 | 0.92 | 0.88 |
| 0.1409 | 4.0 | 490 | 0.2015 | 0.91 | 0.93 | 0.9 |
| 0.1137 | 4.98 | 610 | 0.1817 | 0.93 | 0.95 | 0.92 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 27, 2024
- Updated
- Mar 12, 2025