| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224-in21k |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: food_classification_model |
| 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_classification_model |
|
|
| This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5968 |
| - Accuracy: 0.891 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
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|
| ## Training and evaluation data |
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|
| More information needed |
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|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| 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: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 2.6368 | 0.992 | 62 | 2.4844 | 0.834 | |
| | 1.7832 | 2.0 | 125 | 1.7495 | 0.885 | |
| | 1.5409 | 2.976 | 186 | 1.5968 | 0.891 | |
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| ### Framework versions |
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|
| - Transformers 4.41.0 |
| - Pytorch 2.2.2 |
| - Datasets 2.15.0 |
| - Tokenizers 0.19.1 |
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|
