đ swin-tiny-patch4-window7-224-finetuned-fluro_cls
This model is a fine - tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It can achieve high accuracy in relevant tasks, with a loss of 0.0000 and an accuracy of 1.0 on the evaluation set.
đ Quick Start
This model is a fine - tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
đ Documentation
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
đ§ Technical Details
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e - 05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
No log |
0.67 |
1 |
0.7112 |
0.5238 |
No log |
1.67 |
2 |
0.5591 |
0.8571 |
0.811 |
2.67 |
3 |
0.3781 |
0.9524 |
0.811 |
3.67 |
4 |
0.1995 |
1.0 |
0.811 |
4.67 |
5 |
0.1215 |
1.0 |
0.3531 |
5.67 |
6 |
0.0578 |
1.0 |
0.3531 |
6.67 |
7 |
0.0195 |
1.0 |
0.3531 |
7.67 |
8 |
0.0072 |
1.0 |
0.0618 |
8.67 |
9 |
0.0030 |
1.0 |
0.0618 |
9.67 |
10 |
0.0012 |
1.0 |
0.0618 |
10.67 |
11 |
0.0005 |
1.0 |
0.0079 |
11.67 |
12 |
0.0003 |
1.0 |
0.0079 |
12.67 |
13 |
0.0001 |
1.0 |
0.0079 |
13.67 |
14 |
0.0001 |
1.0 |
0.0051 |
14.67 |
15 |
0.0001 |
1.0 |
0.0051 |
15.67 |
16 |
0.0000 |
1.0 |
0.0051 |
16.67 |
17 |
0.0000 |
1.0 |
0.0017 |
17.67 |
18 |
0.0000 |
1.0 |
0.0017 |
18.67 |
19 |
0.0000 |
1.0 |
0.0017 |
19.67 |
20 |
0.0000 |
1.0 |
0.0004 |
20.67 |
21 |
0.0000 |
1.0 |
0.0004 |
21.67 |
22 |
0.0000 |
1.0 |
0.0004 |
22.67 |
23 |
0.0000 |
1.0 |
0.0022 |
23.67 |
24 |
0.0000 |
1.0 |
0.0022 |
24.67 |
25 |
0.0000 |
1.0 |
0.0022 |
25.67 |
26 |
0.0000 |
1.0 |
0.001 |
26.67 |
27 |
0.0000 |
1.0 |
0.001 |
27.67 |
28 |
0.0000 |
1.0 |
0.001 |
28.67 |
29 |
0.0000 |
1.0 |
0.0013 |
29.67 |
30 |
0.0000 |
1.0 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.10.2+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
đ License
This model is licensed under the Apache - 2.0 license.