| | --- |
| | license: apache-2.0 |
| | base_model: Professor/Plant_Classification_model_vit-base-patch16-224-in21k |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: CGIAR |
| | 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. --> |
| |
|
| | # CGIAR |
| |
|
| | 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: 1.4275 |
| | - Accuracy: 0.415 |
| |
|
| | ## 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: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 25 | 1.4275 | 0.415 | |
| | | No log | 2.0 | 50 | 1.7043 | 0.285 | |
| | | No log | 3.0 | 75 | 1.6228 | 0.23 | |
| | | No log | 4.0 | 100 | 1.6337 | 0.2 | |
| | | No log | 5.0 | 125 | 1.6076 | 0.22 | |
| | | No log | 6.0 | 150 | 1.5424 | 0.285 | |
| | | No log | 7.0 | 175 | 1.5305 | 0.275 | |
| | | No log | 8.0 | 200 | 1.5024 | 0.32 | |
| | | No log | 9.0 | 225 | 1.4686 | 0.355 | |
| | | No log | 10.0 | 250 | 1.4797 | 0.335 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.36.0 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| | |
