| | --- |
| | license: apache-2.0 |
| | base_model: google/vit-base-patch16-224-in21k |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - beans |
| | metrics: |
| | - matthews_correlation |
| | model-index: |
| | - name: Model_folder |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: beans |
| | type: beans |
| | config: default |
| | split: validation |
| | args: default |
| | metrics: |
| | - name: Matthews Correlation |
| | type: matthews_correlation |
| | value: 0.9888050243347044 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # Model_folder |
| | |
| | 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 beans dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0171 |
| | - Matthews Correlation: 0.9888 |
| | |
| | ## 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: 0.0002 |
| | - 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 |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | | 0.0488 | 0.91 | 30 | 0.1366 | 0.9449 | |
| | | 0.0077 | 1.82 | 60 | 0.0508 | 0.9775 | |
| | | 0.0057 | 2.73 | 90 | 0.0366 | 0.9888 | |
| | | 0.0042 | 3.64 | 120 | 0.0171 | 0.9888 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| | |
