---
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-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled
  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-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled

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: 0.0850
- Accuracy: 0.9797

## 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: 14

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.5059        | 1.0   | 199  | 0.9001   | 0.4826          |
| 0.2533        | 2.0   | 398  | 0.9515   | 0.2124          |
| 0.2358        | 3.0   | 597  | 0.9538   | 0.1543          |
| 0.2584        | 4.0   | 796  | 0.9642   | 0.1136          |
| 0.1085        | 5.0   | 995  | 0.9746   | 0.0891          |
| 0.1007        | 6.0   | 1194 | 0.9769   | 0.0725          |
| 0.1463        | 7.0   | 1393 | 0.9840   | 0.0541          |
| 0.3564        | 8.0   | 1592 | 0.9802   | 0.0880          |
| 0.0957        | 9.0   | 1791 | 0.9656   | 0.1375          |
| 0.1481        | 10.0  | 1990 | 0.0511   | 0.9873          |
| 0.1536        | 11.0  | 2189 | 0.0827   | 0.9713          |
| 0.0458        | 12.0  | 2388 | 0.0398   | 0.9882          |
| 0.4956        | 13.0  | 2587 | 0.3474   | 0.8643          |
| 0.0801        | 14.0  | 2786 | 0.0850   | 0.9797          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3