Hugging Face's logo

rhlc
/
vit-msn-small-finetuned-alzheimers

Image Classification
Transformers
TensorBoard
Safetensors
vit_msn
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
rhlc commited on
Commit
29fabf5
•
1 Parent(s): 00c38a1

Model save

Browse files
Files changed (3) hide show
  1. README.md +55 -16
  2. model.safetensors +1 -1
  3. runs/Apr26_13-20-29_1c59b5307e97/events.out.tfevents.1714137639.1c59b5307e97.453.5 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.8625
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [facebook/vit-msn-small](https://huggingface.co/facebook/vit-msn-small) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.3612
36
- - Accuracy: 0.8625
37
 
38
  ## Model description
39
 
@@ -61,22 +61,61 @@ The following hyperparameters were used during training:
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_ratio: 0.1
64
- - num_epochs: 10
65
 
66
  ### Training results
67
 
68
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
- |:-------------:|:------:|:----:|:---------------:|:--------:|
70
- | 0.9297 | 0.9778 | 22 | 0.8769 | 0.6156 |
71
- | 0.8601 | 2.0 | 45 | 0.7799 | 0.6344 |
72
- | 0.7954 | 2.9778 | 67 | 0.7197 | 0.6828 |
73
- | 0.7468 | 4.0 | 90 | 0.7003 | 0.6734 |
74
- | 0.6935 | 4.9778 | 112 | 0.6064 | 0.7547 |
75
- | 0.6271 | 6.0 | 135 | 0.5648 | 0.7688 |
76
- | 0.5622 | 6.9778 | 157 | 0.4824 | 0.8094 |
77
- | 0.4815 | 8.0 | 180 | 0.4012 | 0.8609 |
78
- | 0.4771 | 8.9778 | 202 | 0.3799 | 0.8562 |
79
- | 0.4171 | 9.7778 | 220 | 0.3612 | 0.8625 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
80
 
81
 
82
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.9953125
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 [facebook/vit-msn-small](https://huggingface.co/facebook/vit-msn-small) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.0131
36
+ - Accuracy: 0.9953
37
 
38
  ## Model description
39
 
 
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_ratio: 0.1
64
+ - num_epochs: 50
65
 
66
  ### Training results
67
 
68
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
70
+ | 0.2996 | 0.9778 | 22 | 0.3897 | 0.8438 |
71
+ | 0.3703 | 2.0 | 45 | 0.3595 | 0.8594 |
72
+ | 0.3087 | 2.9778 | 67 | 0.3777 | 0.8625 |
73
+ | 0.486 | 4.0 | 90 | 0.4530 | 0.8187 |
74
+ | 0.3307 | 4.9778 | 112 | 0.4560 | 0.8234 |
75
+ | 0.306 | 6.0 | 135 | 0.3471 | 0.8672 |
76
+ | 0.3005 | 6.9778 | 157 | 0.3025 | 0.8859 |
77
+ | 0.319 | 8.0 | 180 | 0.2451 | 0.8984 |
78
+ | 0.3489 | 8.9778 | 202 | 0.1814 | 0.9281 |
79
+ | 0.3251 | 10.0 | 225 | 0.2451 | 0.9156 |
80
+ | 0.3034 | 10.9778 | 247 | 0.1566 | 0.9406 |
81
+ | 0.2746 | 12.0 | 270 | 0.2493 | 0.8922 |
82
+ | 0.2369 | 12.9778 | 292 | 0.1622 | 0.9375 |
83
+ | 0.2231 | 14.0 | 315 | 0.1781 | 0.9359 |
84
+ | 0.2281 | 14.9778 | 337 | 0.1268 | 0.9531 |
85
+ | 0.2001 | 16.0 | 360 | 0.2431 | 0.9141 |
86
+ | 0.183 | 16.9778 | 382 | 0.1017 | 0.9625 |
87
+ | 0.1891 | 18.0 | 405 | 0.1802 | 0.9391 |
88
+ | 0.1862 | 18.9778 | 427 | 0.0869 | 0.9766 |
89
+ | 0.1935 | 20.0 | 450 | 0.1079 | 0.9688 |
90
+ | 0.1797 | 20.9778 | 472 | 0.1250 | 0.9563 |
91
+ | 0.1605 | 22.0 | 495 | 0.0655 | 0.9719 |
92
+ | 0.1848 | 22.9778 | 517 | 0.0806 | 0.9766 |
93
+ | 0.1498 | 24.0 | 540 | 0.1116 | 0.9578 |
94
+ | 0.1394 | 24.9778 | 562 | 0.0807 | 0.9672 |
95
+ | 0.1584 | 26.0 | 585 | 0.0525 | 0.9797 |
96
+ | 0.1302 | 26.9778 | 607 | 0.0513 | 0.9828 |
97
+ | 0.1356 | 28.0 | 630 | 0.0420 | 0.9875 |
98
+ | 0.1101 | 28.9778 | 652 | 0.0354 | 0.9875 |
99
+ | 0.1227 | 30.0 | 675 | 0.0583 | 0.9766 |
100
+ | 0.1158 | 30.9778 | 697 | 0.0253 | 0.9906 |
101
+ | 0.117 | 32.0 | 720 | 0.0231 | 0.9906 |
102
+ | 0.1022 | 32.9778 | 742 | 0.0726 | 0.9797 |
103
+ | 0.1221 | 34.0 | 765 | 0.0160 | 0.9969 |
104
+ | 0.0956 | 34.9778 | 787 | 0.0482 | 0.9844 |
105
+ | 0.0856 | 36.0 | 810 | 0.0256 | 0.9875 |
106
+ | 0.0996 | 36.9778 | 832 | 0.0211 | 0.9906 |
107
+ | 0.0848 | 38.0 | 855 | 0.0446 | 0.9797 |
108
+ | 0.1001 | 38.9778 | 877 | 0.0274 | 0.9875 |
109
+ | 0.0976 | 40.0 | 900 | 0.0225 | 0.9922 |
110
+ | 0.0864 | 40.9778 | 922 | 0.0207 | 0.9922 |
111
+ | 0.0865 | 42.0 | 945 | 0.0193 | 0.9969 |
112
+ | 0.0773 | 42.9778 | 967 | 0.0203 | 0.9922 |
113
+ | 0.075 | 44.0 | 990 | 0.0131 | 0.9969 |
114
+ | 0.0761 | 44.9778 | 1012 | 0.0129 | 0.9938 |
115
+ | 0.0624 | 46.0 | 1035 | 0.0114 | 0.9969 |
116
+ | 0.0557 | 46.9778 | 1057 | 0.0102 | 0.9953 |
117
+ | 0.0708 | 48.0 | 1080 | 0.0116 | 0.9953 |
118
+ | 0.0667 | 48.8889 | 1100 | 0.0131 | 0.9953 |
119
 
120
 
121
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:50c98debc701c07170716f21c2d68316498026b92c347a390acda2c11c9bd7d7
3
  size 86691704
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bc95772b82c1f290fa941693608dda64a09afa12d895db2cf94f6fdee2c7723
3
  size 86691704
runs/Apr26_13-20-29_1c59b5307e97/events.out.tfevents.1714137639.1c59b5307e97.453.5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e8fe4d402954fa23ae59d3afd1fa0ecf9094d051145bcb974bb4100b452b6b23
3
- size 43142
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c400ffb3f9d28ad3094c832ffe66ca48f0a63742b0ab2d3cec78ca3a807fe8b4
3
+ size 44241