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---
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-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-BreastCancer-Classification-BreakHis-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: 0.0543
- Accuracy: 0.9873
## 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 | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5284 | 1.0 | 199 | 0.5013 | 0.9095 |
| 0.2084 | 2.0 | 398 | 0.2076 | 0.9524 |
| 0.1274 | 3.0 | 597 | 0.1459 | 0.9566 |
| 0.1618 | 4.0 | 796 | 0.1534 | 0.9383 |
| 0.2118 | 5.0 | 995 | 0.0877 | 0.9727 |
| 0.0306 | 6.0 | 1194 | 0.1048 | 0.9656 |
| 0.1012 | 7.0 | 1393 | 0.0674 | 0.9755 |
| 0.2079 | 8.0 | 1592 | 0.0662 | 0.9731 |
| 0.087 | 9.0 | 1791 | 0.1183 | 0.9458 |
| 0.1543 | 10.0 | 1990 | 0.0605 | 0.9840 |
| 0.0788 | 11.0 | 2189 | 0.0557 | 0.9868 |
| 0.0604 | 12.0 | 2388 | 0.0461 | 0.9868 |
| 0.0306 | 13.0 | 2587 | 0.0476 | 0.9854 |
| 0.0365 | 14.0 | 2786 | 0.0543 | 0.9873 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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