| --- |
| library_name: transformers |
| base_model: AkremGomri/my_awesome_food_model |
| tags: |
| - trackio |
| - trackio:https://huggingface.co/spaces/AkremGomri/trackio |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: hf_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. --> |
|
|
| <a href="https://huggingface.co/spaces/AkremGomri/trackio" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a> |
| # hf_image_classification |
|
|
| This model is a fine-tuned version of [AkremGomri/my_awesome_food_model](https://huggingface.co/AkremGomri/my_awesome_food_model) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8116 |
| - Accuracy: 0.913 |
|
|
| ## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.1734 | 1.0 | 63 | 1.1388 | 0.907 | |
| | 0.7969 | 2.0 | 126 | 0.8880 | 0.917 | |
| | 0.7487 | 3.0 | 189 | 0.8116 | 0.913 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.1.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.5.0 |
| - Tokenizers 0.22.2 |
| |
