metadata
license: apache-2.0
base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: >-
swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuffled
results: []
swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuffled
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0289
- Accuracy: 0.9953
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 0.5
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1894 | 1.0 | 199 | 0.1739 | 0.9307 |
| 0.3951 | 2.0 | 398 | 0.1066 | 0.9614 |
| 0.1021 | 3.0 | 597 | 0.0741 | 0.9708 |
| 0.0784 | 4.0 | 796 | 0.0815 | 0.9760 |
| 0.0835 | 5.0 | 995 | 0.0723 | 0.9774 |
| 0.1394 | 6.0 | 1194 | 0.0532 | 0.9840 |
| 0.1755 | 7.0 | 1393 | 0.1068 | 0.9722 |
| 0.1134 | 8.0 | 1592 | 0.0390 | 0.9892 |
| 0.0237 | 9.0 | 1791 | 0.0789 | 0.9863 |
| 0.027 | 10.0 | 1990 | 0.0492 | 0.9887 |
| 0.0081 | 11.0 | 2189 | 0.0429 | 0.9934 |
| 0.011 | 12.0 | 2388 | 0.0289 | 0.9953 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3