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--- |
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license: apache-2.0 |
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base_model: Visual-Attention-Network/van-tiny |
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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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- accuracy |
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- recall |
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- precision |
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model-index: |
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- name: teacher-status-van-tiny-256-2 |
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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: Accuracy |
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type: accuracy |
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value: 0.9759358288770054 |
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- name: Recall |
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type: recall |
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value: 0.9756944444444444 |
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- name: Precision |
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type: precision |
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value: 0.9929328621908127 |
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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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# teacher-status-van-tiny-256-2 |
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This model is a fine-tuned version of [Visual-Attention-Network/van-tiny](https://huggingface.co/Visual-Attention-Network/van-tiny) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0916 |
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- Accuracy: 0.9759 |
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- F1 Score: 0.9842 |
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- Recall: 0.9757 |
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- Precision: 0.9929 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall | Precision | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|:---------:| |
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| 0.6896 | 0.99 | 26 | 0.6707 | 0.7701 | 0.8701 | 1.0 | 0.7701 | |
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| 0.5438 | 1.98 | 52 | 0.4302 | 0.7701 | 0.8701 | 1.0 | 0.7701 | |
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| 0.3756 | 2.97 | 78 | 0.2762 | 0.8850 | 0.9285 | 0.9688 | 0.8914 | |
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| 0.3017 | 4.0 | 105 | 0.2002 | 0.9225 | 0.9503 | 0.9618 | 0.9390 | |
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| 0.257 | 4.99 | 131 | 0.1794 | 0.9385 | 0.9605 | 0.9722 | 0.9492 | |
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| 0.2345 | 5.98 | 157 | 0.1485 | 0.9358 | 0.9582 | 0.9549 | 0.9615 | |
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| 0.2318 | 6.97 | 183 | 0.1302 | 0.9439 | 0.9631 | 0.9514 | 0.9751 | |
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| 0.2173 | 8.0 | 210 | 0.1277 | 0.9519 | 0.9689 | 0.9722 | 0.9655 | |
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| 0.2058 | 8.99 | 236 | 0.1269 | 0.9572 | 0.9722 | 0.9722 | 0.9722 | |
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| 0.1955 | 9.98 | 262 | 0.1146 | 0.9572 | 0.9724 | 0.9792 | 0.9658 | |
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| 0.2083 | 10.97 | 288 | 0.1083 | 0.9652 | 0.9772 | 0.9688 | 0.9859 | |
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| 0.1886 | 12.0 | 315 | 0.1048 | 0.9599 | 0.9741 | 0.9792 | 0.9691 | |
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| 0.1618 | 12.99 | 341 | 0.1033 | 0.9626 | 0.9757 | 0.9757 | 0.9757 | |
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| 0.1908 | 13.98 | 367 | 0.1044 | 0.9599 | 0.9739 | 0.9722 | 0.9756 | |
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| 0.1594 | 14.97 | 393 | 0.0915 | 0.9626 | 0.9758 | 0.9792 | 0.9724 | |
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| 0.1474 | 16.0 | 420 | 0.0916 | 0.9759 | 0.9842 | 0.9757 | 0.9929 | |
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| 0.1734 | 16.99 | 446 | 0.0951 | 0.9652 | 0.9773 | 0.9722 | 0.9825 | |
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| 0.1484 | 17.98 | 472 | 0.1049 | 0.9706 | 0.9809 | 0.9792 | 0.9826 | |
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| 0.1495 | 18.97 | 498 | 0.0930 | 0.9679 | 0.9791 | 0.9757 | 0.9825 | |
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| 0.1385 | 20.0 | 525 | 0.0955 | 0.9626 | 0.9759 | 0.9826 | 0.9692 | |
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| 0.1492 | 20.99 | 551 | 0.0911 | 0.9599 | 0.9741 | 0.9792 | 0.9691 | |
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| 0.1401 | 21.98 | 577 | 0.0927 | 0.9706 | 0.9809 | 0.9792 | 0.9826 | |
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| 0.1288 | 22.97 | 603 | 0.0940 | 0.9706 | 0.9809 | 0.9792 | 0.9826 | |
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| 0.1304 | 24.0 | 630 | 0.0913 | 0.9652 | 0.9775 | 0.9826 | 0.9725 | |
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| 0.14 | 24.99 | 656 | 0.0979 | 0.9652 | 0.9776 | 0.9861 | 0.9693 | |
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| 0.1461 | 25.98 | 682 | 0.0874 | 0.9706 | 0.9810 | 0.9861 | 0.9759 | |
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| 0.1429 | 26.97 | 708 | 0.0837 | 0.9706 | 0.9808 | 0.9757 | 0.9860 | |
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| 0.1444 | 28.0 | 735 | 0.0876 | 0.9679 | 0.9792 | 0.9792 | 0.9792 | |
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| 0.145 | 28.99 | 761 | 0.0903 | 0.9706 | 0.9809 | 0.9792 | 0.9826 | |
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| 0.1445 | 29.71 | 780 | 0.0882 | 0.9679 | 0.9791 | 0.9757 | 0.9825 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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