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--- |
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license: apache-2.0 |
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base_model: facebook/convnextv2-tiny-1k-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-upgrade-1k-224-batch-32 |
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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: 0.8886904761904761 |
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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-upgrade-1k-224-batch-32 |
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This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4027 |
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- Accuracy: 0.8887 |
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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: 3e-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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 10 |
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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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| 1.5523 | 1.0 | 550 | 1.2083 | 0.7010 | |
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| 1.0852 | 2.0 | 1100 | 0.7955 | 0.7960 | |
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| 0.9179 | 3.0 | 1650 | 0.6425 | 0.8258 | |
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| 0.7621 | 4.0 | 2200 | 0.5426 | 0.8549 | |
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| 0.7506 | 5.0 | 2750 | 0.5018 | 0.8624 | |
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| 0.6774 | 6.0 | 3300 | 0.4792 | 0.8684 | |
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| 0.6364 | 7.0 | 3850 | 0.4526 | 0.8744 | |
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| 0.5961 | 8.0 | 4400 | 0.4362 | 0.8799 | |
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| 0.602 | 9.0 | 4950 | 0.4316 | 0.8827 | |
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| 0.5896 | 10.0 | 5500 | 0.4287 | 0.8851 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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