| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224-in21k |
| tags: |
| - image-classification |
| - vision |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: beans_outputs |
| 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. --> |
|
|
| # beans_outputs |
| |
| 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 /home/ubuntu/sdb/astitva/segmentation/classification_ds dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8746 |
| - Accuracy: 0.9515 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - 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: 5.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 2.1775 | 1.0 | 336 | 2.1821 | 0.7616 | |
| | 1.4653 | 2.0 | 672 | 1.4698 | 0.8840 | |
| | 1.1052 | 3.0 | 1008 | 1.0802 | 0.9304 | |
| | 1.0055 | 4.0 | 1344 | 0.9248 | 0.9494 | |
| | 0.7847 | 5.0 | 1680 | 0.8746 | 0.9515 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.50.0.dev0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
|
|
