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derma-deit-base-finetuned
selmamalak/derma-deit-base-finetuned
derma-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
- Mar 15, 2024
- Updated
- Mar 15, 2024
- SHA
- 162e0bed
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. -->
derma-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: 0.5476
- Accuracy: 0.7960
- Precision: 0.6643
- Recall: 0.5891
- F1: 0.6164
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 |
|---|---|---|---|---|---|---|---|
| 0.9012 | 1.0 | 109 | 0.7630 | 0.7228 | 0.4263 | 0.3269 | 0.3462 |
| 0.7636 | 2.0 | 219 | 0.7212 | 0.7288 | 0.5912 | 0.3631 | 0.3789 |
| 0.7189 | 3.0 | 328 | 0.7622 | 0.7258 | 0.4465 | 0.4230 | 0.3935 |
| 0.6904 | 4.0 | 438 | 0.7281 | 0.7438 | 0.4888 | 0.4484 | 0.4115 |
| 0.7658 | 5.0 | 547 | 0.7215 | 0.7398 | 0.4855 | 0.4252 | 0.3753 |
| 0.6363 | 6.0 | 657 | 0.6329 | 0.7677 | 0.6350 | 0.4928 | 0.5121 |
| 0.6299 | 7.0 | 766 | 0.6117 | 0.7717 | 0.5962 | 0.5781 | 0.5713 |
| 0.6011 | 8.0 | 876 | 0.5919 | 0.7797 | 0.6162 | 0.5757 | 0.5902 |
| 0.6043 | 9.0 | 985 | 0.5476 | 0.7946 | 0.6295 | 0.5813 | 0.5983 |
| 0.5671 | 9.95 | 1090 | 0.5544 | 0.7956 | 0.6273 | 0.5810 | 0.5998 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024