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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - imagefolder
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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-LungCancer-Classification-LC25000-AH-60-20-20
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+ results:
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+ - task:
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+ name: Image Classification
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+ type: image-classification
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+ dataset:
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+ name: imagefolder
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+ type: imagefolder
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+ config: Augmented-Final
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+ split: train
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+ args: Augmented-Final
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9996666666666667
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+ ---
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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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+
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+ # convnextv2-large-1k-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20
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+
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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 imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0024
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+ - Accuracy: 0.9997
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4332 | 1.0 | 281 | 0.3824 | 0.947 |
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+ | 0.1558 | 2.0 | 563 | 0.1292 | 0.9737 |
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+ | 0.1161 | 3.0 | 844 | 0.0556 | 0.9887 |
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+ | 0.2337 | 4.0 | 1126 | 0.0683 | 0.982 |
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+ | 0.1285 | 5.0 | 1407 | 0.0293 | 0.9923 |
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+ | 0.047 | 6.0 | 1689 | 0.0987 | 0.975 |
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+ | 0.0741 | 7.0 | 1970 | 0.0373 | 0.988 |
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+ | 0.153 | 8.0 | 2252 | 0.0043 | 0.9997 |
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+ | 0.0244 | 9.0 | 2533 | 0.0696 | 0.981 |
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+ | 0.0646 | 10.0 | 2815 | 0.0120 | 0.995 |
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+ | 0.0025 | 11.0 | 3096 | 0.0076 | 0.9977 |
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+ | 0.0611 | 11.98 | 3372 | 0.0024 | 0.9997 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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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