| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - imagefolder |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: train_model_yonsei |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: imagefolder |
| | type: imagefolder |
| | config: dataset |
| | split: test |
| | args: dataset |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.87 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # train_model_yonsei |
| |
|
| | This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5148 |
| | - Accuracy: 0.87 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.5711 | 0.98 | 11 | 1.4796 | 0.69 | |
| | | 1.3855 | 1.96 | 22 | 1.2302 | 0.74 | |
| | | 1.1544 | 2.93 | 33 | 1.0229 | 0.77 | |
| | | 0.9292 | 4.0 | 45 | 0.8371 | 0.8 | |
| | | 0.7715 | 4.98 | 56 | 0.7186 | 0.84 | |
| | | 0.6521 | 5.96 | 67 | 0.6353 | 0.85 | |
| | | 0.5736 | 6.93 | 78 | 0.5895 | 0.86 | |
| | | 0.4745 | 8.0 | 90 | 0.5891 | 0.85 | |
| | | 0.4361 | 8.98 | 101 | 0.5370 | 0.87 | |
| | | 0.4431 | 9.78 | 110 | 0.5148 | 0.87 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
