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organsmnist-deit-base-finetuned
selmamalak/organsmnist-deit-base-finetuned
organsmnist-deit-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
- bc4804ee
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-deit-base-finetuned
This model is a fine-tuned version of facebook/deit-base-patch16-224 on the medmnist-v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4815
- Accuracy: 0.8080
- Precision: 0.7703
- Recall: 0.7686
- F1: 0.7650
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 |
|---|---|---|---|---|---|---|---|
| 0.9804 | 1.0 | 218 | 0.6885 | 0.7243 | 0.7883 | 0.6661 | 0.6426 |
| 0.9277 | 2.0 | 436 | 0.3513 | 0.8503 | 0.7635 | 0.7943 | 0.7680 |
| 0.8144 | 3.0 | 654 | 0.3614 | 0.8544 | 0.8331 | 0.7961 | 0.7909 |
| 0.7344 | 4.0 | 872 | 0.3371 | 0.8609 | 0.8327 | 0.8018 | 0.7886 |
| 0.7181 | 5.0 | 1090 | 0.2934 | 0.8923 | 0.8060 | 0.8389 | 0.8096 |
| 0.5857 | 6.0 | 1308 | 0.2927 | 0.8858 | 0.8493 | 0.8358 | 0.8315 |
| 0.5607 | 7.0 | 1526 | 0.2209 | 0.9062 | 0.8658 | 0.8547 | 0.8416 |
| 0.5423 | 8.0 | 1744 | 0.2513 | 0.9025 | 0.8545 | 0.8470 | 0.8487 |
| 0.4053 | 9.0 | 1962 | 0.2561 | 0.9038 | 0.8543 | 0.8457 | 0.8373 |
| 0.4417 | 10.0 | 2180 | 0.2558 | 0.8997 | 0.8463 | 0.8395 | 0.8416 |
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