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--- |
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license: apache-2.0 |
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base_model: facebook/convnext-tiny-224 |
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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-convnext |
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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: 0.9950980392156863 |
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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-convnext |
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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: 0.0225 |
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- Accuracy: 0.9951 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 15 |
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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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| 0.2175 | 1.0 | 327 | 0.1708 | 0.9436 | |
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| 0.1476 | 2.0 | 654 | 0.0908 | 0.9672 | |
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| 0.0961 | 3.0 | 981 | 0.0428 | 0.9862 | |
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| 0.0677 | 4.0 | 1309 | 0.0654 | 0.9777 | |
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| 0.049 | 5.0 | 1636 | 0.0498 | 0.9857 | |
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| 0.0347 | 6.0 | 1963 | 0.0352 | 0.9886 | |
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| 0.0282 | 7.0 | 2290 | 0.0278 | 0.9913 | |
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| 0.0694 | 8.0 | 2618 | 0.0299 | 0.9918 | |
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| 0.0733 | 9.0 | 2945 | 0.0246 | 0.9938 | |
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| 0.0399 | 10.0 | 3272 | 0.0285 | 0.9918 | |
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| 0.0276 | 11.0 | 3599 | 0.0249 | 0.9933 | |
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| 0.0259 | 12.0 | 3927 | 0.0241 | 0.9942 | |
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| 0.0551 | 13.0 | 4254 | 0.0298 | 0.9920 | |
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| 0.0658 | 14.0 | 4581 | 0.0288 | 0.9924 | |
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| 0.0208 | 14.99 | 4905 | 0.0225 | 0.9951 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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