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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: 6-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: 0.7990439256526214 |
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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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# 6-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: 0.6407 |
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- F1: 0.7990 |
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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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| 2.0829 | 1.0 | 18 | 2.0240 | 0.1072 | |
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| 1.9599 | 2.0 | 36 | 1.8375 | 0.3757 | |
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| 1.725 | 3.0 | 54 | 1.5851 | 0.4462 | |
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| 1.5014 | 4.0 | 72 | 1.3785 | 0.4928 | |
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| 1.3135 | 5.0 | 90 | 1.2678 | 0.5368 | |
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| 1.2446 | 6.0 | 108 | 1.1646 | 0.6053 | |
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| 1.1576 | 7.0 | 126 | 1.1553 | 0.5554 | |
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| 1.0868 | 8.0 | 144 | 1.0353 | 0.6231 | |
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| 1.0121 | 9.0 | 162 | 1.0081 | 0.6435 | |
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| 0.988 | 10.0 | 180 | 0.9306 | 0.6951 | |
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| 0.9663 | 11.0 | 198 | 0.9062 | 0.7062 | |
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| 0.8709 | 12.0 | 216 | 0.8939 | 0.6950 | |
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| 0.8891 | 13.0 | 234 | 0.8283 | 0.7371 | |
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| 0.843 | 14.0 | 252 | 0.7945 | 0.7482 | |
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| 0.8339 | 15.0 | 270 | 0.8384 | 0.7236 | |
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| 0.8029 | 16.0 | 288 | 0.8167 | 0.7426 | |
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| 0.777 | 17.0 | 306 | 0.7842 | 0.7659 | |
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| 0.7592 | 18.0 | 324 | 0.8064 | 0.7427 | |
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| 0.7052 | 19.0 | 342 | 0.7804 | 0.7553 | |
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| 0.7556 | 20.0 | 360 | 0.7332 | 0.7851 | |
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| 0.688 | 21.0 | 378 | 0.7643 | 0.7676 | |
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| 0.7216 | 22.0 | 396 | 0.7391 | 0.7623 | |
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| 0.6434 | 23.0 | 414 | 0.6996 | 0.7869 | |
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| 0.6673 | 24.0 | 432 | 0.7297 | 0.7775 | |
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| 0.6474 | 25.0 | 450 | 0.7006 | 0.7807 | |
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| 0.6352 | 26.0 | 468 | 0.7134 | 0.7778 | |
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| 0.6068 | 27.0 | 486 | 0.7377 | 0.7776 | |
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| 0.5942 | 28.0 | 504 | 0.6723 | 0.8089 | |
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| 0.5945 | 29.0 | 522 | 0.6686 | 0.7941 | |
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| 0.603 | 30.0 | 540 | 0.6667 | 0.7809 | |
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| 0.5974 | 31.0 | 558 | 0.6698 | 0.7946 | |
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| 0.5743 | 32.0 | 576 | 0.6531 | 0.8090 | |
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| 0.5663 | 33.0 | 594 | 0.6756 | 0.8013 | |
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| 0.5583 | 34.0 | 612 | 0.6535 | 0.8025 | |
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| 0.5199 | 35.0 | 630 | 0.6542 | 0.7936 | |
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| 0.5851 | 36.0 | 648 | 0.6595 | 0.7956 | |
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| 0.5105 | 37.0 | 666 | 0.6784 | 0.7886 | |
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| 0.4947 | 38.0 | 684 | 0.6625 | 0.8002 | |
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| 0.5197 | 39.0 | 702 | 0.6637 | 0.7975 | |
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| 0.514 | 40.0 | 720 | 0.6527 | 0.7925 | |
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| 0.4949 | 41.0 | 738 | 0.6482 | 0.7992 | |
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| 0.5047 | 42.0 | 756 | 0.6427 | 0.8036 | |
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| 0.5058 | 43.0 | 774 | 0.6437 | 0.8052 | |
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| 0.4645 | 44.0 | 792 | 0.6324 | 0.8062 | |
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| 0.4411 | 45.0 | 810 | 0.6481 | 0.8052 | |
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| 0.4602 | 46.0 | 828 | 0.6460 | 0.8037 | |
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| 0.4265 | 47.0 | 846 | 0.6505 | 0.8036 | |
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| 0.4945 | 48.0 | 864 | 0.6467 | 0.7991 | |
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| 0.4794 | 49.0 | 882 | 0.6388 | 0.8084 | |
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| 0.442 | 50.0 | 900 | 0.6407 | 0.7990 | |
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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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