Hugging Face's logo

usamaaleem99tech
/
segformer-class-classWeights-augmentation

Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
4
usamaaleem99tech commited on
Commit
320996e
•
1 Parent(s): 624a8cf

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +14 -14
README.md CHANGED
@@ -1,5 +1,6 @@
1
  ---
2
  license: apache-2.0
 
3
  tags:
4
  - generated_from_trainer
5
  datasets:
@@ -21,7 +22,7 @@ model-index:
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
- value: 0.9772727272727273
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  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.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.0991
35
- - Accuracy: 0.9773
36
 
37
  ## Model description
38
 
@@ -66,21 +67,20 @@ The following hyperparameters were used during training:
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
- | No log | 0.96 | 6 | 1.0191 | 0.6364 |
70
- | 1.0551 | 1.92 | 12 | 0.8644 | 0.7273 |
71
- | 1.0551 | 2.88 | 18 | 0.5563 | 0.8636 |
72
- | 0.7192 | 4.0 | 25 | 0.2687 | 0.9545 |
73
- | 0.4056 | 4.96 | 31 | 0.1921 | 0.9545 |
74
- | 0.4056 | 5.92 | 37 | 0.1246 | 0.9545 |
75
- | 0.267 | 6.88 | 43 | 0.1010 | 0.9773 |
76
- | 0.2547 | 8.0 | 50 | 0.1442 | 0.9773 |
77
- | 0.2547 | 8.96 | 56 | 0.1188 | 0.9773 |
78
- | 0.189 | 9.6 | 60 | 0.0991 | 0.9773 |
79
 
80
 
81
  ### Framework versions
82
 
83
- - Transformers 4.30.2
84
  - Pytorch 2.0.1+cu118
85
  - Datasets 2.13.1
86
  - Tokenizers 0.13.3
 
1
  ---
2
  license: apache-2.0
3
+ base_model: microsoft/swin-tiny-patch4-window7-224
4
  tags:
5
  - generated_from_trainer
6
  datasets:
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.9310344827586207
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  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.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.2606
36
+ - Accuracy: 0.9310
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | No log | 0.89 | 6 | 1.0179 | 0.5862 |
71
+ | 0.9897 | 1.93 | 13 | 0.7600 | 0.7241 |
72
+ | 0.5848 | 2.96 | 20 | 0.8368 | 0.5862 |
73
+ | 0.5848 | 4.0 | 27 | 0.4708 | 0.8621 |
74
+ | 0.2747 | 4.89 | 33 | 0.3727 | 0.8966 |
75
+ | 0.2259 | 5.93 | 40 | 0.3100 | 0.9310 |
76
+ | 0.2259 | 6.96 | 47 | 0.2294 | 0.9310 |
77
+ | 0.1596 | 8.0 | 54 | 0.2631 | 0.8966 |
78
+ | 0.1844 | 8.89 | 60 | 0.2606 | 0.9310 |
 
79
 
80
 
81
  ### Framework versions
82
 
83
+ - Transformers 4.31.0
84
  - Pytorch 2.0.1+cu118
85
  - Datasets 2.13.1
86
  - Tokenizers 0.13.3