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vit-base-beans
pniedziela96/vit-base-beans
vit-base-beans is a image classification model from pniedziela96. 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
- Jun 8, 2024
- Updated
- Jun 8, 2024
- SHA
- 4fe035e8
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-in21k on the fcakyon/pokemon-classification dataset. It achieves the following results on the evaluation set:
- Loss: 5.5730
- Accuracy: 0.0129
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: 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
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.7644 | 0.3279 | 100 | 5.5730 | 0.0129 |
| 2.3105 | 0.6557 | 200 | 5.7311 | 0.0129 |
| 1.3142 | 0.9836 | 300 | 5.9778 | 0.0151 |
| 0.562 | 1.3115 | 400 | 6.3239 | 0.0446 |
| 0.3257 | 1.6393 | 500 | 6.4495 | 0.0813 |
| 0.1451 | 1.9672 | 600 | 6.6065 | 0.0791 |
| 0.0887 | 2.2951 | 700 | 6.7952 | 0.0813 |
| 0.0867 | 2.6230 | 800 | 6.9210 | 0.0770 |
| 0.0628 | 2.9508 | 900 | 6.9864 | 0.0849 |
| 0.047 | 3.2787 | 1000 | 7.0419 | 0.0827 |
| 0.0454 | 3.6066 | 1100 | 7.0862 | 0.0856 |
| 0.0408 | 3.9344 | 1200 | 7.1030 | 0.0856 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024