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update model card README.md
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README.md
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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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- accuracy
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model-index:
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- name: convnext-tiny-224-finetuned-main-gpu-20e-final
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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: validation
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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: 0.9875
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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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# convnext-tiny-224-finetuned-main-gpu-20e-final
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0349
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- Accuracy: 0.9875
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.6197 | 1.0 | 551 | 0.5899 | 0.7440 |
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| 0.3906 | 2.0 | 1102 | 0.3245 | 0.8717 |
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| 0.3161 | 3.0 | 1653 | 0.2228 | 0.9135 |
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| 0.2323 | 4.0 | 2204 | 0.1481 | 0.9446 |
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| 0.2049 | 5.0 | 2755 | 0.1100 | 0.9589 |
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| 0.1453 | 6.0 | 3306 | 0.0887 | 0.9671 |
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| 0.1786 | 7.0 | 3857 | 0.0796 | 0.9702 |
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| 0.1576 | 8.0 | 4408 | 0.0635 | 0.9767 |
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| 0.1584 | 9.0 | 4959 | 0.0563 | 0.9798 |
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| 0.122 | 10.0 | 5510 | 0.0570 | 0.9793 |
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| 0.1138 | 11.0 | 6061 | 0.0526 | 0.9819 |
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| 0.1116 | 12.0 | 6612 | 0.0498 | 0.9832 |
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| 0.0876 | 13.0 | 7163 | 0.0497 | 0.9830 |
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| 0.0956 | 14.0 | 7714 | 0.0403 | 0.9855 |
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| 0.0892 | 15.0 | 8265 | 0.0414 | 0.9855 |
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| 0.0807 | 16.0 | 8816 | 0.0425 | 0.9861 |
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| 0.0959 | 17.0 | 9367 | 0.0397 | 0.9866 |
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| 0.0847 | 18.0 | 9918 | 0.0373 | 0.9874 |
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| 0.0962 | 19.0 | 10469 | 0.0356 | 0.9870 |
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| 0.0731 | 20.0 | 11020 | 0.0349 | 0.9875 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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