| | --- |
| | license: apache-2.0 |
| | base_model: google/vit-base-patch16-224-in21k |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: fruits_and_vegetables_image_classification |
| | 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. --> |
| |
|
| | # fruits_and_vegetables_image_classification |
| |
|
| | 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 None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3835 |
| | - Accuracy: 0.9159 |
| |
|
| | ## 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: 8e-05 |
| | - 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: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 87 | 1.6751 | 0.8768 | |
| | | No log | 2.0 | 174 | 1.0260 | 0.8957 | |
| | | No log | 3.0 | 261 | 0.6767 | 0.8957 | |
| | | No log | 4.0 | 348 | 0.5445 | 0.8986 | |
| | | No log | 5.0 | 435 | 0.4685 | 0.9072 | |
| | | 0.8955 | 6.0 | 522 | 0.4328 | 0.9072 | |
| | | 0.8955 | 7.0 | 609 | 0.4028 | 0.9 | |
| | | 0.8955 | 8.0 | 696 | 0.3958 | 0.9145 | |
| | | 0.8955 | 9.0 | 783 | 0.3835 | 0.9159 | |
| | | 0.8955 | 10.0 | 870 | 0.3842 | 0.9145 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.0 |
| |
|
