| --- |
| license: apache-2.0 |
| base_model: facebook/convnextv2-large-1k-224 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: convnextv2_large_food101 |
| 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. --> |
|
|
| # convnextv2_large_food101 |
|
|
| This model is a fine-tuned version of [facebook/convnextv2-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6622 |
| - Accuracy: 0.908 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 6 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 2.9463 | 0.99 | 62 | 2.6321 | 0.764 | |
| | 1.516 | 2.0 | 125 | 1.3564 | 0.8605 | |
| | 1.0163 | 2.99 | 187 | 0.9408 | 0.8855 | |
| | 0.7411 | 4.0 | 250 | 0.7443 | 0.9075 | |
| | 0.6397 | 4.99 | 312 | 0.6746 | 0.9085 | |
| | 0.583 | 5.95 | 372 | 0.6622 | 0.908 | |
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| ### Framework versions |
|
|
| - Transformers 4.38.1 |
| - Pytorch 2.2.1 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
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|
