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8-classifier-finetuned-padchest

Image Classification
Transformers
PyTorch
vit
generated_from_trainer
Eval Results
Inference Endpoints
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - imagefolder
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: 8-classifier-finetuned-padchest
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+ results:
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+ - task:
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+ name: Image Classification
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+ type: image-classification
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+ dataset:
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+ name: imagefolder
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+ type: imagefolder
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+ config: default
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+ split: train
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+ args: default
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.9325359911406422
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # 8-classifier-finetuned-padchest
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+
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+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2276
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+ - F1: 0.9325
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6321 | 1.0 | 18 | 0.5224 | 0.7896 |
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+ | 0.4633 | 2.0 | 36 | 0.3809 | 0.7896 |
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+ | 0.3552 | 3.0 | 54 | 0.3305 | 0.7896 |
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+ | 0.2718 | 4.0 | 72 | 0.2696 | 0.8197 |
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+ | 0.2345 | 5.0 | 90 | 0.2178 | 0.9149 |
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+ | 0.211 | 6.0 | 108 | 0.2405 | 0.8861 |
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+ | 0.2208 | 7.0 | 126 | 0.2713 | 0.8605 |
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+ | 0.1698 | 8.0 | 144 | 0.1747 | 0.9422 |
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+ | 0.1547 | 9.0 | 162 | 0.1783 | 0.9322 |
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+ | 0.1697 | 10.0 | 180 | 0.1629 | 0.9350 |
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+ | 0.1684 | 11.0 | 198 | 0.1740 | 0.9319 |
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+ | 0.1722 | 12.0 | 216 | 0.1885 | 0.9173 |
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+ | 0.158 | 13.0 | 234 | 0.1637 | 0.9331 |
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+ | 0.1469 | 14.0 | 252 | 0.1716 | 0.9325 |
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+ | 0.1271 | 15.0 | 270 | 0.1700 | 0.9384 |
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+ | 0.131 | 16.0 | 288 | 0.1785 | 0.9409 |
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+ | 0.1245 | 17.0 | 306 | 0.2124 | 0.9206 |
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+ | 0.1182 | 18.0 | 324 | 0.1715 | 0.9322 |
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+ | 0.1082 | 19.0 | 342 | 0.1946 | 0.9322 |
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+ | 0.1274 | 20.0 | 360 | 0.1757 | 0.9379 |
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+ | 0.1115 | 21.0 | 378 | 0.1908 | 0.9307 |
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+ | 0.0995 | 22.0 | 396 | 0.2001 | 0.9289 |
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+ | 0.0996 | 23.0 | 414 | 0.1820 | 0.9293 |
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+ | 0.0993 | 24.0 | 432 | 0.2095 | 0.9355 |
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+ | 0.1006 | 25.0 | 450 | 0.1973 | 0.9314 |
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+ | 0.0703 | 26.0 | 468 | 0.1934 | 0.9389 |
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+ | 0.0901 | 27.0 | 486 | 0.2276 | 0.9238 |
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+ | 0.0827 | 28.0 | 504 | 0.1949 | 0.936 |
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+ | 0.0701 | 29.0 | 522 | 0.2076 | 0.9317 |
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+ | 0.0813 | 30.0 | 540 | 0.2001 | 0.9374 |
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+ | 0.0776 | 31.0 | 558 | 0.2440 | 0.9357 |
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+ | 0.0842 | 32.0 | 576 | 0.2163 | 0.9271 |
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+ | 0.0872 | 33.0 | 594 | 0.2248 | 0.9332 |
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+ | 0.0743 | 34.0 | 612 | 0.2007 | 0.9344 |
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+ | 0.0692 | 35.0 | 630 | 0.1971 | 0.9283 |
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+ | 0.0763 | 36.0 | 648 | 0.2094 | 0.9393 |
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+ | 0.0714 | 37.0 | 666 | 0.2139 | 0.9271 |
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+ | 0.0683 | 38.0 | 684 | 0.2065 | 0.9331 |
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+ | 0.0698 | 39.0 | 702 | 0.2177 | 0.9295 |
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+ | 0.0507 | 40.0 | 720 | 0.2171 | 0.9344 |
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+ | 0.0523 | 41.0 | 738 | 0.2240 | 0.9344 |
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+ | 0.0546 | 42.0 | 756 | 0.2083 | 0.9394 |
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+ | 0.0695 | 43.0 | 774 | 0.2171 | 0.936 |
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+ | 0.0634 | 44.0 | 792 | 0.2193 | 0.9301 |
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+ | 0.0462 | 45.0 | 810 | 0.2017 | 0.9409 |
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+ | 0.0581 | 46.0 | 828 | 0.2209 | 0.9350 |
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+ | 0.0468 | 47.0 | 846 | 0.2335 | 0.9301 |
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+ | 0.0424 | 48.0 | 864 | 0.2294 | 0.9301 |
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+ | 0.0472 | 49.0 | 882 | 0.2310 | 0.9350 |
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+ | 0.044 | 50.0 | 900 | 0.2276 | 0.9325 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0.dev0
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.13.3