|
--- |
|
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: 0.3782 |
|
- eval_accuracy: 0.9038 |
|
- eval_runtime: 156.2669 |
|
- eval_samples_per_second: 96.95 |
|
- eval_steps_per_second: 6.06 |
|
- epoch: 42.24 |
|
- step: 40000 |
|
|
|
## 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 |
|
|
