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vit-base-modified-augmented-ph2-patch-32
ahishamm/vit-base-modified-augmented-ph2-patch-32
vit-base-modified-augmented-ph2-patch-32 is a image classification model from ahishamm. 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 29, 2023
- Updated
- Jun 29, 2023
- SHA
- 74fec3a3
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-modified-augmented-ph2-patch-32
This model is a fine-tuned version of google/vit-base-patch32-224-in21k on the ahishamm/Modified_Augmented_PH2_db_sharpened dataset. It achieves the following results on the evaluation set:
- Loss: 0.0014
- Accuracy: 1.0
- Recall: 1.0
- F1: 1.0
- Precision: 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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1 | Precision |
|---|---|---|---|---|---|---|---|
| 0.1463 | 0.29 | 50 | 0.2883 | 0.8990 | 0.8990 | 0.8990 | 0.8990 |
| 0.0861 | 0.59 | 100 | 0.1700 | 0.9469 | 0.9469 | 0.9469 | 0.9469 |
| 0.155 | 0.88 | 150 | 0.1299 | 0.9555 | 0.9555 | 0.9555 | 0.9555 |
| 0.0188 | 1.18 | 200 | 0.1214 | 0.9623 | 0.9623 | 0.9623 | 0.9623 |
| 0.0335 | 1.47 | 250 | 0.0261 | 0.9932 | 0.9932 | 0.9932 | 0.9932 |
| 0.003 | 1.76 | 300 | 0.0033 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0023 | 2.06 | 350 | 0.0025 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.002 | 2.35 | 400 | 0.0021 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0017 | 2.65 | 450 | 0.0018 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0017 | 2.94 | 500 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0015 | 3.24 | 550 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0014 | 3.53 | 600 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0014 | 3.82 | 650 | 0.0014 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 29, 2023
- Updated
- Jun 29, 2023