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vit-base-patch16-224-limb
c14kevincardenas/vit-base-patch16-224-limb
vit-base-patch16-224-limb is a image classification model from c14kevincardenas. 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
- May 17, 2024
- Updated
- May 22, 2024
- SHA
- 7e803396
Base models
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-limb
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2871
- Accuracy: 0.3344
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3834 | 1.0 | 215 | 1.3825 | 0.2685 |
| 1.3786 | 2.0 | 430 | 1.3706 | 0.2998 |
| 1.3546 | 3.0 | 645 | 1.3357 | 0.3229 |
| 1.3075 | 4.0 | 860 | 1.3095 | 0.3097 |
| 1.3017 | 5.0 | 1075 | 1.2871 | 0.3344 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 17, 2024
- Updated
- May 22, 2024