---
license: apache-2.0
base_model: facebook/convnextv2-large-1k-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: convnextv2-large-1k-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled-3rd
  results: []
---

<!-- 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-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled-3rd

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.
It achieves the following results on the evaluation set:
- Loss: 0.0672
- Accuracy: 0.9893

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9123        | 1.0   | 114  | 1.9145          | 0.2241   |
| 1.7059        | 2.0   | 229  | 1.6895          | 0.5599   |
| 1.3919        | 3.0   | 343  | 1.3194          | 0.6634   |
| 1.0811        | 4.0   | 458  | 1.0303          | 0.7151   |
| 0.9301        | 5.0   | 572  | 0.8376          | 0.7562   |
| 0.7336        | 6.0   | 687  | 0.6449          | 0.8374   |
| 0.5805        | 7.0   | 801  | 0.5091          | 0.8736   |
| 0.5982        | 8.0   | 916  | 0.4677          | 0.8826   |
| 0.4939        | 9.0   | 1030 | 0.4029          | 0.8842   |
| 0.3296        | 10.0  | 1145 | 0.3051          | 0.9204   |
| 0.3559        | 11.0  | 1259 | 0.5266          | 0.8366   |
| 0.3089        | 12.0  | 1374 | 0.3569          | 0.8883   |
| 0.2272        | 13.0  | 1488 | 0.1487          | 0.9680   |
| 0.3355        | 14.0  | 1603 | 0.2344          | 0.9269   |
| 0.1581        | 14.93 | 1710 | 0.0672          | 0.9893   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3