Hugging Face's logo

rukundob451
/
swin-tiny-patch4-window7-224-finetuned-papsmear

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
rukundob451 commited on
Commit
424480b
·
verified ·
1 Parent(s): 425a292

Model save

Browse files
Files changed (2) hide show
  1. README.md +20 -20
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.9044117647058824
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
33
 
34
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 0.2027
37
- - Accuracy: 0.9044
38
 
39
  ## Model description
40
 
@@ -68,26 +68,26 @@ The following hyperparameters were used during training:
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
71
- | 1.4844 | 0.9935 | 38 | 1.4298 | 0.4118 |
72
- | 0.8905 | 1.9869 | 76 | 0.8110 | 0.6544 |
73
- | 0.9097 | 2.9804 | 114 | 0.7109 | 0.7132 |
74
- | 0.6238 | 4.0 | 153 | 0.9197 | 0.6544 |
75
- | 0.4456 | 4.9935 | 191 | 0.4652 | 0.8015 |
76
- | 0.4394 | 5.9869 | 229 | 0.5188 | 0.8015 |
77
- | 0.3156 | 6.9804 | 267 | 0.3447 | 0.8529 |
78
- | 0.2212 | 8.0 | 306 | 0.3509 | 0.8382 |
79
- | 0.2402 | 8.9935 | 344 | 0.3939 | 0.8235 |
80
- | 0.1733 | 9.9869 | 382 | 0.2444 | 0.8897 |
81
- | 0.1953 | 10.9804 | 420 | 0.2639 | 0.8676 |
82
- | 0.1363 | 12.0 | 459 | 0.2645 | 0.8824 |
83
- | 0.1234 | 12.9935 | 497 | 0.2027 | 0.9044 |
84
- | 0.1282 | 13.9869 | 535 | 0.2027 | 0.9044 |
85
- | 0.1036 | 14.9020 | 570 | 0.2026 | 0.8897 |
86
 
87
 
88
  ### Framework versions
89
 
90
  - Transformers 4.44.2
91
- - Pytorch 2.4.0+cu121
92
- - Datasets 3.0.0
93
  - Tokenizers 0.19.1
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.8823529411764706
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
33
 
34
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.3140
37
+ - Accuracy: 0.8824
38
 
39
  ## Model description
40
 
 
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
71
+ | 1.4898 | 0.9935 | 38 | 1.3709 | 0.4632 |
72
+ | 0.8902 | 1.9869 | 76 | 0.9261 | 0.6324 |
73
+ | 0.9107 | 2.9804 | 114 | 0.8400 | 0.6397 |
74
+ | 0.564 | 4.0 | 153 | 0.6937 | 0.7279 |
75
+ | 0.5563 | 4.9935 | 191 | 0.5622 | 0.7647 |
76
+ | 0.3851 | 5.9869 | 229 | 0.5238 | 0.8015 |
77
+ | 0.3327 | 6.9804 | 267 | 0.6382 | 0.7941 |
78
+ | 0.2469 | 8.0 | 306 | 0.4330 | 0.8456 |
79
+ | 0.2903 | 8.9935 | 344 | 0.4212 | 0.8309 |
80
+ | 0.1861 | 9.9869 | 382 | 0.4140 | 0.8529 |
81
+ | 0.1533 | 10.9804 | 420 | 0.3810 | 0.8603 |
82
+ | 0.1017 | 12.0 | 459 | 0.3565 | 0.8603 |
83
+ | 0.1285 | 12.9935 | 497 | 0.3057 | 0.8971 |
84
+ | 0.1377 | 13.9869 | 535 | 0.3058 | 0.8824 |
85
+ | 0.1033 | 14.9020 | 570 | 0.3140 | 0.8824 |
86
 
87
 
88
  ### Framework versions
89
 
90
  - Transformers 4.44.2
91
+ - Pytorch 2.4.1+cu121
92
+ - Datasets 3.0.1
93
  - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0ff10695d1e2cfabd84aab735605ded5fb7c20000d4ea898933917cac73438c9
3
  size 110355136
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:967024e23841a12e9412e9b2d7eb0a3265af44b18fc630f5bd8d6a941ab73b9a
3
  size 110355136