| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - fl_image_category_ds |
| metrics: |
| - accuracy |
| base_model: google/vit-base-patch16-224-in21k |
| model-index: |
| - name: project_name |
| results: |
| - task: |
| type: image-classification |
| name: Image Classification |
| dataset: |
| name: fl_image_category_ds |
| type: fl_image_category_ds |
| config: default |
| split: train |
| args: default |
| metrics: |
| - type: accuracy |
| value: 0.6621621621621622 |
| name: Accuracy |
| --- |
| |
| <!-- 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. --> |
|
|
| # project_name |
| |
| 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 fl_image_category_ds dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9537 |
| - Accuracy: 0.6622 |
|
|
| ## 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: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.3368 | 1.0 | 88 | 1.2575 | 0.5448 | |
| | 1.1146 | 2.0 | 176 | 1.0928 | 0.6038 | |
| | 0.9667 | 3.0 | 264 | 1.0195 | 0.6223 | |
| | 0.9005 | 4.0 | 352 | 0.9832 | 0.6373 | |
| | 0.8432 | 5.0 | 440 | 0.9537 | 0.6622 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.25.1 |
| - Pytorch 1.13.1 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
|
|
