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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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<!-- 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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# 8-classifier-finetuned-padchest |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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 |
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