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vit-large-patch16-224-new-dungeon-geo-morphs-025
griffio/vit-large-patch16-224-new-dungeon-geo-morphs-025
vit-large-patch16-224-new-dungeon-geo-morphs-025 is a image classification model from griffio. 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. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Nov 19, 2024
- Updated
- Nov 19, 2024
- SHA
- 3fa86402
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. -->
vit-large-patch16-224-new-dungeon-geo-morphs-025
This model is a fine-tuned version of google/vit-large-patch16-224 on the dungeon-geo-morphs dataset. It achieves the following results on the evaluation set:
- Loss: 0.5643
- Accuracy: 0.9434
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch 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: 35
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0 | 3.6364 | 10 | 0.5643 | 0.9434 |
| 0.0 | 7.2727 | 20 | 0.6440 | 0.9434 |
| 0.0 | 10.9091 | 30 | 0.6484 | 0.9434 |
| 0.0 | 14.5455 | 40 | 0.6491 | 0.9434 |
| 0.0 | 18.1818 | 50 | 0.6515 | 0.9434 |
| 0.0 | 21.8182 | 60 | 0.6539 | 0.9434 |
| 0.0 | 25.4545 | 70 | 0.6547 | 0.9434 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 19, 2024
- Updated
- Nov 19, 2024