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organc-beit-base-finetuned
selmamalak/organc-beit-base-finetuned
organc-beit-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
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- da6421ee
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. -->
organc-beit-base-finetuned
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the medmnist-v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2503
- Accuracy: 0.9256
- Precision: 0.9228
- Recall: 0.9137
- F1: 0.9175
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 |
|---|---|---|---|---|---|---|---|
| 0.8262 | 1.0 | 203 | 0.2666 | 0.8867 | 0.9002 | 0.8322 | 0.8260 |
| 0.6431 | 2.0 | 406 | 0.1514 | 0.9536 | 0.9486 | 0.9377 | 0.9397 |
| 0.6986 | 3.0 | 609 | 0.1179 | 0.9766 | 0.9710 | 0.9769 | 0.9730 |
| 0.5797 | 4.0 | 813 | 0.1045 | 0.9766 | 0.9756 | 0.9768 | 0.9758 |
| 0.5475 | 5.0 | 1016 | 0.1281 | 0.9707 | 0.9677 | 0.9662 | 0.9659 |
| 0.5518 | 6.0 | 1219 | 0.0765 | 0.9833 | 0.9791 | 0.9842 | 0.9813 |
| 0.5167 | 7.0 | 1422 | 0.1065 | 0.9724 | 0.9785 | 0.9701 | 0.9735 |
| 0.4417 | 8.0 | 1626 | 0.1027 | 0.9824 | 0.9848 | 0.9834 | 0.9837 |
| 0.3555 | 9.0 | 1829 | 0.1286 | 0.9774 | 0.9838 | 0.9778 | 0.9803 |
| 0.3552 | 9.99 | 2030 | 0.1046 | 0.9845 | 0.9882 | 0.9857 | 0.9867 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024