update model card README.md

README.md

@@ -0,0 +1,88 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: convnextv2-large-1k-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: Augmented-Final
+      split: train
+      args: Augmented-Final
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9996666666666667
+---
+
+<!-- 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-1k-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.0024
+- Accuracy: 0.9997
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.9
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4332        | 1.0   | 281  | 0.3824          | 0.947    |
+| 0.1558        | 2.0   | 563  | 0.1292          | 0.9737   |
+| 0.1161        | 3.0   | 844  | 0.0556          | 0.9887   |
+| 0.2337        | 4.0   | 1126 | 0.0683          | 0.982    |
+| 0.1285        | 5.0   | 1407 | 0.0293          | 0.9923   |
+| 0.047         | 6.0   | 1689 | 0.0987          | 0.975    |
+| 0.0741        | 7.0   | 1970 | 0.0373          | 0.988    |
+| 0.153         | 8.0   | 2252 | 0.0043          | 0.9997   |
+| 0.0244        | 9.0   | 2533 | 0.0696          | 0.981    |
+| 0.0646        | 10.0  | 2815 | 0.0120          | 0.995    |
+| 0.0025        | 11.0  | 3096 | 0.0076          | 0.9977   |
+| 0.0611        | 11.98 | 3372 | 0.0024          | 0.9997   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3