| | --- |
| | license: apache-2.0 |
| | base_model: microsoft/swinv2-tiny-patch4-window16-256 |
| | tags: |
| | - image-classification |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: save-model-final |
| | 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. --> |
| |
|
| | # save-model-final |
| |
|
| | This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the jbarat/plant_species dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3658 |
| | - Accuracy: 0.875 |
| | |
| | ## 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: 0.0003 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 10 | 1.0202 | 0.675 | |
| | | No log | 2.0 | 20 | 0.7625 | 0.7375 | |
| | | No log | 3.0 | 30 | 0.5602 | 0.8625 | |
| | | No log | 4.0 | 40 | 0.5282 | 0.825 | |
| | | No log | 5.0 | 50 | 0.8285 | 0.7875 | |
| | | No log | 6.0 | 60 | 0.6724 | 0.825 | |
| | | No log | 7.0 | 70 | 0.7429 | 0.8125 | |
| | | No log | 8.0 | 80 | 0.9518 | 0.8125 | |
| | | No log | 9.0 | 90 | 0.8012 | 0.8125 | |
| | | 0.2718 | 10.0 | 100 | 0.8500 | 0.8125 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.39.3 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| | |
