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vit-base-patch16-224-in21k-rotated-dungeons-v003
griffio/vit-base-patch16-224-in21k-rotated-dungeons-v003
vit-base-patch16-224-in21k-rotated-dungeons-v003 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 5, 2024
- Updated
- Nov 5, 2024
- SHA
- c40fce2b
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-base-patch16-224-in21k-rotated-dungeons-v003
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the rotated_maps dataset. It achieves the following results on the evaluation set:
- Loss: 0.5927
- F1: 0.8548
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 12 | 1.6942 | 0.0095 |
| No log | 2.0 | 24 | 1.4463 | 0.3217 |
| No log | 3.0 | 36 | 1.2808 | 0.3690 |
| No log | 4.0 | 48 | 0.9816 | 0.5798 |
| No log | 5.0 | 60 | 0.6291 | 0.8548 |
| No log | 6.0 | 72 | 0.9176 | 0.7226 |
| No log | 7.0 | 84 | 0.7163 | 0.8548 |
| No log | 8.0 | 96 | 0.6404 | 0.8548 |
| No log | 9.0 | 108 | 0.6627 | 0.8548 |
| No log | 10.0 | 120 | 0.7034 | 0.8177 |
| No log | 11.0 | 132 | 0.5796 | 0.8548 |
| No log | 12.0 | 144 | 0.5746 | 0.8548 |
| No log | 13.0 | 156 | 0.5902 | 0.8548 |
| No log | 14.0 | 168 | 0.6146 | 0.8548 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 5, 2024
- Updated
- Nov 5, 2024