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cat_or_dogs
mhdiqbalpradipta/cat_or_dogs
cat_or_dogs is a image classification model from mhdiqbalpradipta. 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
- Feb 24, 2024
- Updated
- Feb 24, 2024
- SHA
- 6a915e0d
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. -->
cat_or_dogs
This model is a fine-tuned version of akahana/vit-base-cats-vs-dogs on the cats_vs_dogs dataset. It achieves the following results on the evaluation set:
- Loss: 0.0561
- Accuracy: 0.9821
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0389 | 1.0 | 1171 | 0.0638 | 0.9793 |
| 0.0682 | 2.0 | 2342 | 0.0510 | 0.9812 |
| 0.0623 | 3.0 | 3513 | 0.0561 | 0.9821 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Feb 24, 2024
- Updated
- Feb 24, 2024