| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| - image-classification |
| - pytorch |
| datasets: |
| - food101 |
| metrics: |
| - accuracy |
| model-index: |
| - name: food101_outputs |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: nateraw/food101 |
| type: food101 |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8912871287128713 |
| --- |
| |
| <!-- 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. --> |
|
|
| # nateraw/food |
|
|
| 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 nateraw/food101 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4501 |
| - Accuracy: 0.8913 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 1337 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.8271 | 1.0 | 592 | 0.6070 | 0.8562 | |
| | 0.4376 | 2.0 | 1184 | 0.4947 | 0.8691 | |
| | 0.2089 | 3.0 | 1776 | 0.4876 | 0.8747 | |
| | 0.0882 | 4.0 | 2368 | 0.4639 | 0.8857 | |
| | 0.0452 | 5.0 | 2960 | 0.4501 | 0.8913 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.9.0.dev0 |
| - Pytorch 1.9.0+cu102 |
| - Datasets 1.9.1.dev0 |
| - Tokenizers 0.10.3 |
|
|
