Hugging Face's logo

Sara5115
/
swin-tiny-patch4-window7-224-BlurClassification

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
Sara5115 commited on
Commit
b1d1281
·
verified ·
1 Parent(s): 54dddb6

Model save

Browse files
Files changed (2) hide show
  1. README.md +9 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.9905660377358491
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: 0.0157
37
- - Accuracy: 0.9906
38
 
39
  ## Model description
40
 
@@ -62,17 +62,15 @@ The following hyperparameters were used during training:
62
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
63
  - lr_scheduler_type: linear
64
  - lr_scheduler_warmup_ratio: 0.1
65
- - num_epochs: 5
66
 
67
  ### Training results
68
 
69
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
- |:-------------:|:-----:|:----:|:---------------:|:--------:|
71
- | No log | 1.0 | 6 | 0.2406 | 0.9811 |
72
- | 0.4213 | 2.0 | 12 | 0.0446 | 0.9874 |
73
- | 0.4213 | 3.0 | 18 | 0.0409 | 0.9811 |
74
- | 0.021 | 4.0 | 24 | 0.0157 | 0.9906 |
75
- | 0.0132 | 5.0 | 30 | 0.0318 | 0.9811 |
76
 
77
 
78
  ### Framework versions
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 1.0
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: 0.1188
37
+ - Accuracy: 1.0
38
 
39
  ## Model description
40
 
 
62
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
63
  - lr_scheduler_type: linear
64
  - lr_scheduler_warmup_ratio: 0.1
65
+ - num_epochs: 4
66
 
67
  ### Training results
68
 
69
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
+ |:-------------:|:------:|:----:|:---------------:|:--------:|
71
+ | No log | 1.0 | 3 | 0.3697 | 0.9667 |
72
+ | No log | 2.0 | 6 | 0.1583 | 1.0 |
73
+ | No log | 2.8889 | 8 | 0.1188 | 1.0 |
 
 
74
 
75
 
76
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:78d29b5aaf14b83173dc80952ec0f84aeb9f36db933b8450f4ddc276400e33d1
3
  size 110342832
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c48242680039b7072acfd501270a2b92a9f1071b089024129b047cecbcc4a3bd
3
  size 110342832