my_awesome_food_model
This model was trained from scratch on the food101 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2752
- eval_accuracy: 0.923
- eval_runtime: 18.6571
- eval_samples_per_second: 53.599
- eval_steps_per_second: 3.377
- epoch: 29.71
- step: 1857
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: 100
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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