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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: weeds_convnext_imbalanced |
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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: test |
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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: 0.9446428571428571 |
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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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# weeds_convnext_imbalanced |
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Model is trained on imbalanced dataset/ .8 .1 .1 split/ 224x224 resized |
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Dataset: https://www.kaggle.com/datasets/vbookshelf/v2-plant-seedlings-dataset |
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This model is a fine-tuned version of [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1963 |
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- Accuracy: 0.9446 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 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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| 1.0851 | 1.0 | 275 | 0.9525 | 0.8161 | |
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| 0.3283 | 2.0 | 550 | 0.2921 | 0.925 | |
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| 0.1298 | 3.0 | 825 | 0.2126 | 0.9411 | |
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| 0.1583 | 4.0 | 1100 | 0.1959 | 0.9464 | |
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| 0.1922 | 5.0 | 1375 | 0.2284 | 0.9321 | |
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| 0.1358 | 6.0 | 1650 | 0.1811 | 0.9607 | |
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| 0.137 | 7.0 | 1925 | 0.1808 | 0.9446 | |
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| 0.1524 | 8.0 | 2200 | 0.2534 | 0.9357 | |
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| 0.0507 | 9.0 | 2475 | 0.1908 | 0.95 | |
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| 0.1011 | 10.0 | 2750 | 0.1963 | 0.9446 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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