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vit-base-patch16-224-in21k
gustavomalkomes/vit-base-patch16-224-in21k
vit-base-patch16-224-in21k is a image classification model from gustavomalkomes. 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 7, 2024
- SHA
- 9bbc0e45
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-in21k
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the chainyo/rvl-cdip dataset. It achieves the following results on the evaluation set:
- Loss: 0.4223
- Accuracy: 0.8788
- Memory Allocated (gb): 1.49
- Max Memory Allocated (gb): 2.1
- Total Memory Available (gb): 126.62
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0a0+git12138a8
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 5, 2024
- Updated
- Nov 7, 2024