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results
riyadifirman/results
results is a image classification model from riyadifirman. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- vit
- Access
- Public
- Created
- Sep 3, 2024
- Updated
- Sep 21, 2024
- SHA
- 5d6cc299
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. -->
results
This model is a fine-tuned version of sxdave/plant_classification_model_1 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3907
- Accuracy: 0.9171
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- Created
- Sep 3, 2024
- Updated
- Sep 21, 2024