Hugging Face's logo

amaye15
/
SwinV2-Base-Document-Classifier

Image Classification
Transformers
Safetensors
swinv2
Generated from Trainer
Inference Endpoints
Model card Files Community
amaye15 commited on
Commit
b096857
•
1 Parent(s): 8a354ee

End of training

Browse files
Files changed (2) hide show
  1. README.md +14 -14
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window16-256](https://huggingface.co/microsoft/swinv2-base-patch4-window16-256) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.0365
24
- - Accuracy: 0.9901
25
- - F1: 0.9901
26
- - Precision: 0.9902
27
- - Recall: 0.9901
28
 
29
  ## Model description
30
 
@@ -57,15 +57,15 @@ The following hyperparameters were used during training:
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
60
- | 0.0801 | 0.2 | 160 | 0.0489 | 0.9837 | 0.9838 | 0.9841 | 0.9837 |
61
- | 0.0656 | 0.3 | 240 | 0.0436 | 0.9877 | 0.9878 | 0.9879 | 0.9878 |
62
- | 0.058 | 0.4 | 320 | 0.0462 | 0.9884 | 0.9885 | 0.9886 | 0.9885 |
63
- | 0.0462 | 0.5 | 400 | 0.0426 | 0.9881 | 0.9882 | 0.9883 | 0.9882 |
64
- | 0.0632 | 1.1 | 480 | 0.0356 | 0.9896 | 0.9897 | 0.9897 | 0.9897 |
65
- | 0.0307 | 1.2 | 560 | 0.0331 | 0.9912 | 0.9912 | 0.9913 | 0.9912 |
66
- | 0.0314 | 1.3 | 640 | 0.0347 | 0.9902 | 0.9903 | 0.9903 | 0.9903 |
67
- | 0.0315 | 1.4 | 720 | 0.0365 | 0.9898 | 0.9898 | 0.9899 | 0.9898 |
68
- | 0.0301 | 1.5 | 800 | 0.0365 | 0.9901 | 0.9901 | 0.9902 | 0.9901 |
69
 
70
 
71
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window16-256](https://huggingface.co/microsoft/swinv2-base-patch4-window16-256) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.0271
24
+ - Accuracy: 0.9926
25
+ - F1: 0.9926
26
+ - Precision: 0.9926
27
+ - Recall: 0.9926
28
 
29
  ## Model description
30
 
 
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
60
+ | 0.0759 | 0.2 | 160 | 0.0482 | 0.9879 | 0.9878 | 0.9882 | 0.9877 |
61
+ | 0.0603 | 0.3 | 240 | 0.0323 | 0.9903 | 0.9902 | 0.9903 | 0.9902 |
62
+ | 0.0532 | 0.4 | 320 | 0.0391 | 0.9902 | 0.9902 | 0.9903 | 0.9901 |
63
+ | 0.0517 | 1.0 | 400 | 0.0558 | 0.9821 | 0.9818 | 0.9824 | 0.9819 |
64
+ | 0.046 | 1.1 | 480 | 0.0275 | 0.9917 | 0.9916 | 0.9917 | 0.9916 |
65
+ | 0.0355 | 1.2 | 560 | 0.0276 | 0.9923 | 0.9922 | 0.9923 | 0.9922 |
66
+ | 0.0365 | 1.3 | 640 | 0.0316 | 0.9922 | 0.9921 | 0.9922 | 0.9921 |
67
+ | 0.0342 | 1.4 | 720 | 0.0289 | 0.9923 | 0.9923 | 0.9923 | 0.9922 |
68
+ | 0.0509 | 2.01 | 800 | 0.0271 | 0.9926 | 0.9926 | 0.9926 | 0.9926 |
69
 
70
 
71
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d45d5b7b4f548b578829ecae5a7c4daa0f2087f641604f35be39acb454296cfd
3
  size 347657788
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec646d284df8bb272a769f423ef14d881f293f31c5cb8b40ec830eca8f465a69
3
  size 347657788