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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: my_awesome_food_model |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# my_awesome_food_model |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8640 |
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- Accuracy: 0.573 |
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## Model description |
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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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 512 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 2048 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| No log | 1.0 | 2 | 0.036 | 4.5210 | |
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| No log | 2.0 | 4 | 0.278 | 4.4151 | |
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| No log | 3.0 | 6 | 0.437 | 4.3629 | |
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| No log | 4.0 | 8 | 4.2960 | 0.547 | |
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| 4.3122 | 5.0 | 10 | 4.1697 | 0.589 | |
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| 4.3122 | 6.0 | 12 | 4.0601 | 0.568 | |
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| 4.3122 | 7.0 | 14 | 3.9770 | 0.521 | |
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| 4.3122 | 8.0 | 16 | 3.9177 | 0.539 | |
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| 4.3122 | 9.0 | 18 | 3.8843 | 0.545 | |
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| 3.9792 | 10.0 | 20 | 3.8640 | 0.573 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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