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--- |
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license: apache-2.0 |
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base_model: facebook/convnextv2-femto-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_femto_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_femto_food101 |
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This model is a fine-tuned version of [facebook/convnextv2-femto-1k-224](https://huggingface.co/facebook/convnextv2-femto-1k-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5759 |
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- Accuracy: 0.8435 |
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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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| 1.88 | 0.99 | 62 | 1.6014 | 0.661 | |
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| 0.9478 | 2.0 | 125 | 0.8978 | 0.7795 | |
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| 0.7794 | 2.99 | 187 | 0.7312 | 0.814 | |
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| 0.6316 | 4.0 | 250 | 0.6452 | 0.825 | |
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| 0.5729 | 4.99 | 312 | 0.6147 | 0.8355 | |
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| 0.5052 | 5.95 | 372 | 0.5759 | 0.8435 | |
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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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