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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: 10-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: 0.9061888902800384 |
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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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# 10-classifier-finetuned-padchest |
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2197 |
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- F1: 0.9062 |
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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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| 0.7175 | 1.0 | 18 | 0.6978 | 0.5508 | |
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| 0.6996 | 2.0 | 36 | 0.6699 | 0.7605 | |
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| 0.659 | 3.0 | 54 | 0.6291 | 0.8044 | |
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| 0.5937 | 4.0 | 72 | 0.5778 | 0.7920 | |
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| 0.5124 | 5.0 | 90 | 0.5113 | 0.7934 | |
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| 0.4668 | 6.0 | 108 | 0.4066 | 0.7934 | |
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| 0.4079 | 7.0 | 126 | 0.4105 | 0.7934 | |
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| 0.363 | 8.0 | 144 | 0.3652 | 0.7934 | |
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| 0.337 | 9.0 | 162 | 0.3410 | 0.7934 | |
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| 0.3172 | 10.0 | 180 | 0.3272 | 0.7934 | |
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| 0.3082 | 11.0 | 198 | 0.2930 | 0.7934 | |
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| 0.2967 | 12.0 | 216 | 0.2814 | 0.7934 | |
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| 0.2889 | 13.0 | 234 | 0.2665 | 0.7934 | |
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| 0.2636 | 14.0 | 252 | 0.2846 | 0.7934 | |
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| 0.2694 | 15.0 | 270 | 0.2610 | 0.7934 | |
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| 0.2663 | 16.0 | 288 | 0.2828 | 0.7934 | |
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| 0.2573 | 17.0 | 306 | 0.2615 | 0.7934 | |
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| 0.2558 | 18.0 | 324 | 0.2606 | 0.7934 | |
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| 0.2492 | 19.0 | 342 | 0.2532 | 0.7934 | |
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| 0.2513 | 20.0 | 360 | 0.2559 | 0.7934 | |
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| 0.2429 | 21.0 | 378 | 0.2497 | 0.7934 | |
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| 0.2361 | 22.0 | 396 | 0.2412 | 0.7934 | |
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| 0.2423 | 23.0 | 414 | 0.2494 | 0.8235 | |
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| 0.2479 | 24.0 | 432 | 0.2446 | 0.8290 | |
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| 0.2237 | 25.0 | 450 | 0.2425 | 0.8428 | |
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| 0.2282 | 26.0 | 468 | 0.2446 | 0.8573 | |
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| 0.2343 | 27.0 | 486 | 0.2348 | 0.8344 | |
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| 0.2169 | 28.0 | 504 | 0.2358 | 0.8547 | |
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| 0.2169 | 29.0 | 522 | 0.2400 | 0.8622 | |
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| 0.2341 | 30.0 | 540 | 0.2342 | 0.8579 | |
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| 0.2241 | 31.0 | 558 | 0.2266 | 0.8511 | |
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| 0.2132 | 32.0 | 576 | 0.2250 | 0.8662 | |
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| 0.2155 | 33.0 | 594 | 0.2222 | 0.8485 | |
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| 0.2014 | 34.0 | 612 | 0.2279 | 0.8659 | |
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| 0.2033 | 35.0 | 630 | 0.2296 | 0.8886 | |
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| 0.1993 | 36.0 | 648 | 0.2252 | 0.8909 | |
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| 0.228 | 37.0 | 666 | 0.2226 | 0.8742 | |
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| 0.2292 | 38.0 | 684 | 0.2274 | 0.9030 | |
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| 0.202 | 39.0 | 702 | 0.2307 | 0.8997 | |
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| 0.2133 | 40.0 | 720 | 0.2244 | 0.8977 | |
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| 0.214 | 41.0 | 738 | 0.2281 | 0.9053 | |
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| 0.2203 | 42.0 | 756 | 0.2251 | 0.9020 | |
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| 0.2071 | 43.0 | 774 | 0.2214 | 0.8848 | |
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| 0.2125 | 44.0 | 792 | 0.2196 | 0.8932 | |
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| 0.2137 | 45.0 | 810 | 0.2187 | 0.8811 | |
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| 0.2073 | 46.0 | 828 | 0.2183 | 0.9020 | |
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| 0.2119 | 47.0 | 846 | 0.2185 | 0.9109 | |
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| 0.2018 | 48.0 | 864 | 0.2199 | 0.8943 | |
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| 0.1971 | 49.0 | 882 | 0.2211 | 0.9053 | |
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| 0.2079 | 50.0 | 900 | 0.2197 | 0.9062 | |
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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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