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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: plant-seedlings-model |
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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: 0.954140127388535 |
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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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# plant-seedlings-model |
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2858 |
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- Accuracy: 0.9541 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: linear |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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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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| 1.2496 | 1.27 | 500 | 1.2172 | 0.5637 | |
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| 0.7542 | 2.54 | 1000 | 0.8994 | 0.6898 | |
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| 0.6158 | 3.82 | 1500 | 0.6794 | 0.7720 | |
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| 0.4306 | 5.09 | 2000 | 0.4715 | 0.8331 | |
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| 0.3066 | 6.36 | 2500 | 0.4127 | 0.8567 | |
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| 0.2851 | 7.63 | 3000 | 0.3460 | 0.8803 | |
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| 0.3096 | 8.91 | 3500 | 0.2714 | 0.9019 | |
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| 0.1086 | 10.18 | 4000 | 0.2760 | 0.9268 | |
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| 0.1209 | 11.45 | 4500 | 0.2881 | 0.9229 | |
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| 0.1036 | 12.72 | 5000 | 0.2566 | 0.9357 | |
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| 0.0716 | 13.99 | 5500 | 0.2792 | 0.9382 | |
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| 0.0168 | 15.27 | 6000 | 0.2604 | 0.9376 | |
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| 0.0004 | 16.54 | 6500 | 0.3676 | 0.9363 | |
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| 0.0017 | 17.81 | 7000 | 0.2969 | 0.9529 | |
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| 0.0005 | 19.08 | 7500 | 0.2858 | 0.9541 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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