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fruit_and_vegetable_classification
hmrizal/fruit_and_vegetable_classification
fruit_and_vegetable_classification is a image classification model from hmrizal. 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
- resnet
- Access
- Public
- Created
- Jun 18, 2024
- Updated
- Jun 21, 2024
- SHA
- 14d3c7d5
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. -->
fruit_and_vegetable_classification
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: 0.3561
- Accuracy: 0.9005
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 312 | 0.7314 | 0.8539 |
| 1.2763 | 2.0 | 624 | 0.5756 | 0.8299 |
| 1.2763 | 3.0 | 936 | 0.3682 | 0.8941 |
| 0.3683 | 4.0 | 1248 | 0.3646 | 0.8989 |
| 0.2209 | 5.0 | 1560 | 0.4051 | 0.8860 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- resnet
- License
- apache-2.0
- Created
- Jun 18, 2024
- Updated
- Jun 21, 2024