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urinary_carcinoma_classifier_g
prakhardixit24/urinary_carcinoma_classifier_g
urinary_carcinoma_classifier_g is a image classification model from prakhardixit24. 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
- Jul 15, 2024
- Updated
- Jul 15, 2024
- SHA
- 7f558f24
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. -->
urinary_carcinoma_classifier_g
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1879
- Accuracy: 1.0
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.6847 | 0.5 |
| No log | 2.0 | 2 | 0.6741 | 0.75 |
| No log | 3.0 | 3 | 0.6468 | 0.75 |
| No log | 4.0 | 4 | 0.6268 | 0.75 |
| No log | 5.0 | 5 | 0.6053 | 0.75 |
| No log | 6.0 | 6 | 0.5515 | 0.75 |
| No log | 7.0 | 7 | 0.5259 | 1.0 |
| No log | 8.0 | 8 | 0.4513 | 1.0 |
| No log | 9.0 | 9 | 0.4493 | 1.0 |
| 0.1427 | 10.0 | 10 | 0.3979 | 1.0 |
| 0.1427 | 11.0 | 11 | 0.4203 | 1.0 |
| 0.1427 | 12.0 | 12 | 0.3690 | 1.0 |
| 0.1427 | 13.0 | 13 | 0.2793 | 1.0 |
| 0.1427 | 14.0 | 14 | 0.3143 | 1.0 |
| 0.1427 | 15.0 | 15 | 0.2536 | 1.0 |
| 0.1427 | 16.0 | 16 | 0.2509 | 1.0 |
| 0.1427 | 17.0 | 17 | 0.2619 | 1.0 |
| 0.1427 | 18.0 | 18 | 0.2187 | 1.0 |
| 0.1427 | 19.0 | 19 | 0.3027 | 1.0 |
| 0.055 | 20.0 | 20 | 0.2662 | 1.0 |
| 0.055 | 21.0 | 21 | 0.3630 | 0.75 |
| 0.055 | 22.0 | 22 | 0.4297 | 0.75 |
| 0.055 | 23.0 | 23 | 0.3473 | 0.75 |
| 0.055 | 24.0 | 24 | 0.4058 | 0.75 |
| 0.055 | 25.0 | 25 | 0.3959 | 0.75 |
| 0.055 | 26.0 | 26 | 0.2548 | 1.0 |
| 0.055 | 27.0 | 27 | 0.1835 | 1.0 |
| 0.055 | 28.0 | 28 | 0.1909 | 1.0 |
| 0.055 | 29.0 | 29 | 0.4000 | 0.75 |
| 0.029 | 30.0 | 30 | 0.1879 | 1.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024