| --- |
| license: apache-2.0 |
| base_model: Professor/Plant_Classification_model_vit-base-patch16-224-in21k |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: Plant_Classification_model_vit-base-patch16-224-in21k |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Plant_Classification_model_vit-base-patch16-224-in21k |
| |
| This model is a fine-tuned version of [Professor/Plant_Classification_model_vit-base-patch16-224-in21k](https://huggingface.co/Professor/Plant_Classification_model_vit-base-patch16-224-in21k) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4976 |
| - Accuracy: 0.8737 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.001 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 193 | 1.6872 | 0.5531 | |
| | No log | 2.0 | 386 | 1.2610 | 0.6490 | |
| | 1.7011 | 3.0 | 579 | 1.1522 | 0.6658 | |
| | 1.7011 | 4.0 | 772 | 0.9463 | 0.7293 | |
| | 1.7011 | 5.0 | 965 | 0.8893 | 0.7377 | |
| | 0.9968 | 6.0 | 1158 | 0.8774 | 0.7306 | |
| | 0.9968 | 7.0 | 1351 | 0.7006 | 0.7908 | |
| | 0.734 | 8.0 | 1544 | 0.7599 | 0.7791 | |
| | 0.734 | 9.0 | 1737 | 0.6890 | 0.7895 | |
| | 0.734 | 10.0 | 1930 | 0.6686 | 0.7882 | |
| | 0.5624 | 11.0 | 2123 | 0.6111 | 0.8271 | |
| | 0.5624 | 12.0 | 2316 | 0.6342 | 0.8122 | |
| | 0.4342 | 13.0 | 2509 | 0.5493 | 0.8381 | |
| | 0.4342 | 14.0 | 2702 | 0.5186 | 0.8452 | |
| | 0.4342 | 15.0 | 2895 | 0.5610 | 0.8381 | |
| | 0.3097 | 16.0 | 3088 | 0.5520 | 0.8439 | |
| | 0.3097 | 17.0 | 3281 | 0.5237 | 0.8588 | |
| | 0.3097 | 18.0 | 3474 | 0.4999 | 0.8659 | |
| | 0.2119 | 19.0 | 3667 | 0.4976 | 0.8737 | |
| | 0.2119 | 20.0 | 3860 | 0.5038 | 0.8711 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.0.0 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
