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roman-numerals-digit-classification
farleyknight-org-username/roman-numerals-digit-classification
roman-numerals-digit-classification is a image classification model from farleyknight-org-username. 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
- Sep 4, 2022
- Updated
- Sep 5, 2022
- SHA
- 9efa7fdf
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. -->
roman_numerals-digit-classification-2022-09-04
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the farleyknight/roman_numerals dataset. It achieves the following results on the evaluation set:
- Loss: 0.7018
- Accuracy: 0.8333
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: 2e-05
- 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: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9053 | 1.0 | 289 | 1.3680 | 0.7132 |
| 1.2788 | 2.0 | 578 | 0.9499 | 0.7966 |
| 1.1232 | 3.0 | 867 | 0.8679 | 0.7279 |
| 1.0373 | 4.0 | 1156 | 0.7324 | 0.8088 |
| 0.9658 | 5.0 | 1445 | 0.7018 | 0.8333 |
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 4, 2022
- Updated
- Sep 5, 2022