---
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: 0.0043
- 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