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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-1k-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled |
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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-1k-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0946 |
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- Accuracy: 0.9852 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 0.9 |
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- num_epochs: 12 |
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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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| 1.9014 | 1.0 | 114 | 1.8872 | 0.3982 | |
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| 1.6303 | 2.0 | 229 | 1.6163 | 0.5928 | |
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| 1.291 | 3.0 | 343 | 1.2220 | 0.6773 | |
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| 1.0813 | 4.0 | 458 | 0.9574 | 0.7750 | |
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| 0.7168 | 5.0 | 572 | 0.7792 | 0.7603 | |
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| 0.6184 | 6.0 | 687 | 0.5539 | 0.8678 | |
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| 0.677 | 7.0 | 801 | 0.4482 | 0.8727 | |
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| 0.4876 | 8.0 | 916 | 0.3289 | 0.9269 | |
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| 0.4 | 9.0 | 1030 | 0.2379 | 0.9499 | |
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| 0.4122 | 10.0 | 1145 | 0.2452 | 0.9351 | |
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| 0.4494 | 11.0 | 1259 | 0.1790 | 0.9581 | |
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| 0.2026 | 11.95 | 1368 | 0.0946 | 0.9852 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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