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finetuned-animal
HBH1520/finetuned-animal
finetuned-animal is a image classification model from HBH1520. 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
- May 11, 2025
- Updated
- May 13, 2025
- SHA
- 232f8bfc
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. -->
finetuned-animal
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: 0.2938
- Accuracy: 0.9539
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.1203 | 0.3937 | 100 | 2.9482 | 0.8645 |
| 1.9251 | 0.7874 | 200 | 1.8309 | 0.9008 |
| 1.1303 | 1.1811 | 300 | 1.0964 | 0.9316 |
| 0.9344 | 1.5748 | 400 | 0.7386 | 0.9358 |
| 0.6817 | 1.9685 | 500 | 0.5442 | 0.9469 |
| 0.4973 | 2.3622 | 600 | 0.4395 | 0.9330 |
| 0.3576 | 2.7559 | 700 | 0.3812 | 0.9413 |
| 0.366 | 3.1496 | 800 | 0.3367 | 0.9469 |
| 0.2382 | 3.5433 | 900 | 0.3032 | 0.9525 |
| 0.3751 | 3.9370 | 1000 | 0.2938 | 0.9539 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 11, 2025
- Updated
- May 13, 2025