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--- |
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license: apache-2.0 |
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base_model: facebook/convnextv2-large-1k-224 |
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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: convnextv2_large_food101 |
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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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# convnextv2_large_food101 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6622 |
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- Accuracy: 0.908 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.9463 | 0.99 | 62 | 2.6321 | 0.764 | |
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| 1.516 | 2.0 | 125 | 1.3564 | 0.8605 | |
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| 1.0163 | 2.99 | 187 | 0.9408 | 0.8855 | |
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| 0.7411 | 4.0 | 250 | 0.7443 | 0.9075 | |
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| 0.6397 | 4.99 | 312 | 0.6746 | 0.9085 | |
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| 0.583 | 5.95 | 372 | 0.6622 | 0.908 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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