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vit-part1-friends
lngrid2020/vit-part1-friends
vit-part1-friends is a image classification model from lngrid2020. 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
- Jan 25, 2024
- Updated
- Jan 25, 2024
- SHA
- d2a275b1
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-part1-friends
This model is a fine-tuned version of moreover18/vit-base-patch16-224-in21k-YB on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2036
- Accuracy: 0.9381
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1627 | 1.3 | 50 | 0.2258 | 0.9202 |
| 0.1183 | 2.6 | 100 | 0.2148 | 0.9235 |
| 0.1223 | 3.9 | 150 | 0.2055 | 0.9267 |
| 0.0992 | 5.19 | 200 | 0.1976 | 0.9332 |
| 0.0824 | 6.49 | 250 | 0.2036 | 0.9381 |
Framework versions
- Transformers 4.37.1
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jan 25, 2024
- Updated
- Jan 25, 2024