| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - food101 |
| | model-index: |
| | - name: food-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. --> |
| |
|
| | # food-image-classification |
| |
|
| | This model was trained from scratch on the food101 dataset |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.4645 |
| | - eval_accuracy: 0.8831 |
| | - eval_runtime: 156.6057 |
| | - eval_samples_per_second: 96.74 |
| | - eval_steps_per_second: 6.047 |
| | - epoch: 54.91 |
| | - step: 52000 |
| | |
| | ## 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: 500 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.0 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.15.1 |
| | |
