Hugging Face's logo

tvganesh
/
identify_stroke

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Community
1
tvganesh commited on
Commit
7d70589
·
1 Parent(s): c860145

End of training

Browse files
Files changed (2) hide show
  1. README.md +21 -21
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.0923
36
  - Accuracy: 1.0
37
 
38
  ## Model description
@@ -65,26 +65,26 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | No log | 1.0 | 3 | 0.2842 | 1.0 |
69
- | No log | 2.0 | 6 | 0.3240 | 1.0 |
70
- | No log | 3.0 | 9 | 0.3020 | 1.0 |
71
- | No log | 4.0 | 12 | 0.2311 | 1.0 |
72
- | No log | 5.0 | 15 | 0.1781 | 1.0 |
73
- | No log | 6.0 | 18 | 0.1666 | 1.0 |
74
- | 0.2203 | 7.0 | 21 | 0.1445 | 1.0 |
75
- | 0.2203 | 8.0 | 24 | 0.1213 | 1.0 |
76
- | 0.2203 | 9.0 | 27 | 0.1166 | 1.0 |
77
- | 0.2203 | 10.0 | 30 | 0.1059 | 1.0 |
78
- | 0.2203 | 11.0 | 33 | 0.1633 | 1.0 |
79
- | 0.2203 | 12.0 | 36 | 0.1574 | 1.0 |
80
- | 0.2203 | 13.0 | 39 | 0.1010 | 1.0 |
81
- | 0.1398 | 14.0 | 42 | 0.1019 | 1.0 |
82
- | 0.1398 | 15.0 | 45 | 0.0778 | 1.0 |
83
- | 0.1398 | 16.0 | 48 | 0.0812 | 1.0 |
84
- | 0.1398 | 17.0 | 51 | 0.1087 | 1.0 |
85
- | 0.1398 | 18.0 | 54 | 0.0783 | 1.0 |
86
- | 0.1398 | 19.0 | 57 | 0.0769 | 1.0 |
87
- | 0.0992 | 20.0 | 60 | 0.0923 | 1.0 |
88
 
89
 
90
  ### Framework versions
 
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.1127
36
  - Accuracy: 1.0
37
 
38
  ## Model description
 
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | No log | 1.0 | 4 | 0.4345 | 1.0 |
69
+ | No log | 2.0 | 8 | 0.3883 | 1.0 |
70
+ | 0.3612 | 3.0 | 12 | 0.4099 | 0.8889 |
71
+ | 0.3612 | 4.0 | 16 | 0.2452 | 1.0 |
72
+ | 0.2934 | 5.0 | 20 | 0.1969 | 1.0 |
73
+ | 0.2934 | 6.0 | 24 | 0.1679 | 1.0 |
74
+ | 0.2934 | 7.0 | 28 | 0.1403 | 1.0 |
75
+ | 0.203 | 8.0 | 32 | 0.1530 | 1.0 |
76
+ | 0.203 | 9.0 | 36 | 0.1161 | 1.0 |
77
+ | 0.1505 | 10.0 | 40 | 0.1292 | 1.0 |
78
+ | 0.1505 | 11.0 | 44 | 0.1031 | 1.0 |
79
+ | 0.1505 | 12.0 | 48 | 0.1084 | 1.0 |
80
+ | 0.1388 | 13.0 | 52 | 0.1078 | 1.0 |
81
+ | 0.1388 | 14.0 | 56 | 0.0937 | 1.0 |
82
+ | 0.1076 | 15.0 | 60 | 0.1008 | 1.0 |
83
+ | 0.1076 | 16.0 | 64 | 0.1131 | 1.0 |
84
+ | 0.1076 | 17.0 | 68 | 0.1007 | 1.0 |
85
+ | 0.1047 | 18.0 | 72 | 0.1775 | 0.8889 |
86
+ | 0.1047 | 19.0 | 76 | 0.0844 | 1.0 |
87
+ | 0.0902 | 20.0 | 80 | 0.1127 | 1.0 |
88
 
89
 
90
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9a947ab4f3189deae53b5d61434b8f4568b36f086b59a8761c41dda0ad987021
3
  size 343271789
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bfa1f5663a705b7e38971971acfe8a919514474954ae1a8ded39dfe09affb01d
3
  size 343271789