Initial commit of plant identification detection model

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-large-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: plant-identification-vit
+  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-identification-vit
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.0315
+- Accuracy: 0.8096
+
+## 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: 5e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0085        | 1.0   | 953  | 1.0659          | 0.7762   |
+| 0.6805        | 2.0   | 1906 | 0.8413          | 0.8029   |
+| 0.5039        | 3.0   | 2859 | 0.7920          | 0.8069   |
+| 0.3847        | 4.0   | 3812 | 0.7760          | 0.8102   |
+| 0.2826        | 5.0   | 4765 | 0.8024          | 0.8049   |
+| 0.2229        | 6.0   | 5718 | 0.8382          | 0.8099   |
+| 0.1064        | 7.0   | 6671 | 0.8983          | 0.8074   |
+| 0.0676        | 8.0   | 7624 | 0.9672          | 0.8072   |
+| 0.027         | 9.0   | 8577 | 1.0089          | 0.8099   |
+| 0.0209        | 10.0  | 9530 | 1.0315          | 0.8096   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.4.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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