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organsmnist-swin-base-finetuned
selmamalak/organsmnist-swin-base-finetuned
organsmnist-swin-base-finetuned is a machine learning model from selmamalak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 18, 2024
- Updated
- May 18, 2024
- SHA
- e9b6d25c
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. -->
organsmnist-swin-base-finetuned
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224-in22k on the medmnist-v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4655
- Accuracy: 0.8230
- Precision: 0.7898
- Recall: 0.7786
- F1: 0.7831
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: 0.005
- 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
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.918 | 1.0 | 218 | 0.4249 | 0.8356 | 0.8139 | 0.7795 | 0.7529 |
| 0.889 | 2.0 | 436 | 0.4593 | 0.8263 | 0.7916 | 0.7695 | 0.7668 |
| 0.8566 | 3.0 | 654 | 0.3293 | 0.8748 | 0.8505 | 0.8205 | 0.8088 |
| 0.7781 | 4.0 | 872 | 0.3455 | 0.8679 | 0.8313 | 0.8088 | 0.7921 |
| 0.7241 | 5.0 | 1090 | 0.3565 | 0.8691 | 0.8758 | 0.8110 | 0.7902 |
| 0.6568 | 6.0 | 1308 | 0.3337 | 0.8809 | 0.8458 | 0.8295 | 0.8081 |
| 0.5643 | 7.0 | 1526 | 0.2581 | 0.8972 | 0.8392 | 0.8377 | 0.8332 |
| 0.5834 | 8.0 | 1744 | 0.2706 | 0.8956 | 0.8402 | 0.8360 | 0.8319 |
| 0.4771 | 9.0 | 1962 | 0.2721 | 0.9001 | 0.8524 | 0.8445 | 0.8364 |
| 0.5102 | 10.0 | 2180 | 0.2898 | 0.9009 | 0.8460 | 0.8410 | 0.8407 |
Framework versions
- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- May 18, 2024
- Updated
- May 18, 2024