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vit-base-beans
yaniseuranova/vit-base-beans
vit-base-beans is a image classification model from yaniseuranova. Use it when you need a label for an image. 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
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024
- SHA
- 552831df
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-beans
This model is a fine-tuned version of google/vit-base-patch16-224 on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- Accuracy: 1.0
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.14.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Type
- vit
- License
- apache-2.0
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024