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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-large-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: plant-identification-vit |
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results: [] |
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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-identification-vit |
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This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0315 |
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- Accuracy: 0.8096 |
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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: 256 |
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- eval_batch_size: 256 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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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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| 1.0085 | 1.0 | 953 | 1.0659 | 0.7762 | |
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| 0.6805 | 2.0 | 1906 | 0.8413 | 0.8029 | |
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| 0.5039 | 3.0 | 2859 | 0.7920 | 0.8069 | |
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| 0.3847 | 4.0 | 3812 | 0.7760 | 0.8102 | |
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| 0.2826 | 5.0 | 4765 | 0.8024 | 0.8049 | |
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| 0.2229 | 6.0 | 5718 | 0.8382 | 0.8099 | |
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| 0.1064 | 7.0 | 6671 | 0.8983 | 0.8074 | |
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| 0.0676 | 8.0 | 7624 | 0.9672 | 0.8072 | |
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| 0.027 | 9.0 | 8577 | 1.0089 | 0.8099 | |
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| 0.0209 | 10.0 | 9530 | 1.0315 | 0.8096 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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