Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: microsoft/beit-large-patch16-224
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the None dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.0298
|
| 21 |
+
- Accuracy: 0.9934
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 5e-06
|
| 41 |
+
- train_batch_size: 16
|
| 42 |
+
- eval_batch_size: 16
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 2
|
| 45 |
+
- total_train_batch_size: 32
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.9
|
| 49 |
+
- num_epochs: 15
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|
| 54 |
+
|:-------------:|:-----:|:----:|:--------:|:---------------:|
|
| 55 |
+
| 0.5462 | 1.0 | 199 | 0.7931 | 0.4728 |
|
| 56 |
+
| 0.2496 | 2.0 | 398 | 0.9185 | 0.2074 |
|
| 57 |
+
| 0.2173 | 3.0 | 597 | 0.9486 | 0.1305 |
|
| 58 |
+
| 0.1009 | 4.0 | 796 | 0.9623 | 0.0964 |
|
| 59 |
+
| 0.1528 | 5.0 | 995 | 0.9717 | 0.0662 |
|
| 60 |
+
| 0.0893 | 6.0 | 1194 | 0.9774 | 0.0549 |
|
| 61 |
+
| 0.0786 | 7.0 | 1393 | 0.9802 | 0.0505 |
|
| 62 |
+
| 0.0254 | 8.0 | 1592 | 0.0643 | 0.9783 |
|
| 63 |
+
| 0.1112 | 9.0 | 1791 | 0.0311 | 0.9915 |
|
| 64 |
+
| 0.0428 | 10.0 | 1990 | 0.0484 | 0.9802 |
|
| 65 |
+
| 0.0842 | 11.0 | 2189 | 0.0482 | 0.9863 |
|
| 66 |
+
| 0.0129 | 12.0 | 2388 | 0.0372 | 0.9896 |
|
| 67 |
+
| 0.1463 | 13.0 | 2587 | 0.0404 | 0.9882 |
|
| 68 |
+
| 0.0582 | 14.0 | 2786 | 0.0589 | 0.9821 |
|
| 69 |
+
| 0.0063 | 15.0 | 2985 | 0.0298 | 0.9934 |
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
### Framework versions
|
| 73 |
+
|
| 74 |
+
- Transformers 4.32.0
|
| 75 |
+
- Pytorch 2.0.1+cu118
|
| 76 |
+
- Datasets 2.14.4
|
| 77 |
+
- Tokenizers 0.13.3
|