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organamnist-deit-base-finetuned
selmamalak/organamnist-deit-base-finetuned
organamnist-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
- d8657a9f
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. -->
organamnist-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: 0.1907
- Accuracy: 0.9424
- Precision: 0.9464
- Recall: 0.9395
- F1: 0.9421
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 |
|---|---|---|---|---|---|---|---|
| 0.5849 | 1.0 | 540 | 0.1842 | 0.9442 | 0.9449 | 0.9268 | 0.9285 |
| 0.6494 | 2.0 | 1081 | 0.1433 | 0.9499 | 0.9539 | 0.9510 | 0.9509 |
| 0.6059 | 3.0 | 1621 | 0.1171 | 0.9562 | 0.9659 | 0.9569 | 0.9593 |
| 0.3547 | 4.0 | 2162 | 0.0981 | 0.9666 | 0.9709 | 0.9712 | 0.9702 |
| 0.4852 | 5.0 | 2702 | 0.0539 | 0.9817 | 0.9848 | 0.9842 | 0.9842 |
| 0.406 | 6.0 | 3243 | 0.0818 | 0.9749 | 0.9793 | 0.9752 | 0.9768 |
| 0.3074 | 7.0 | 3783 | 0.1289 | 0.9666 | 0.9815 | 0.9778 | 0.9783 |
| 0.2679 | 8.0 | 4324 | 0.0311 | 0.9900 | 0.9916 | 0.9909 | 0.9912 |
| 0.2439 | 9.0 | 4864 | 0.0577 | 0.9851 | 0.9886 | 0.9880 | 0.9881 |
| 0.2169 | 9.99 | 5400 | 0.0720 | 0.9835 | 0.9888 | 0.9882 | 0.9882 |
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