Hugging Face's logo

Hemg
/
Wound-Image-classification

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Model card Files
xet
Metrics Community
Hemg commited on
Commit
251921a
·
verified ·
1 Parent(s): c75564a

Model save

Browse files
Files changed (3) hide show
  1. README.md +11 -33
  2. model.safetensors +1 -1
  3. runs/Mar11_11-08-47_33467ebf2898/events.out.tfevents.1710155328.33467ebf2898.370.13 +2 -2
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.4094
21
  - Accuracy: 0.8621
22
 
23
  ## Model description
@@ -37,7 +37,7 @@ More information needed
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
- - learning_rate: 0.0003
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
@@ -46,42 +46,20 @@ The following hyperparameters were used during training:
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
- - num_epochs: 32
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
- | 2.0067 | 0.93 | 10 | 1.7096 | 0.4713 |
56
- | 1.3813 | 1.95 | 21 | 1.1621 | 0.7126 |
57
- | 0.8497 | 2.98 | 32 | 0.7038 | 0.8161 |
58
- | 0.548 | 4.0 | 43 | 0.6777 | 0.7931 |
59
- | 0.4304 | 4.93 | 53 | 0.6226 | 0.7931 |
60
- | 0.3439 | 5.95 | 64 | 0.7137 | 0.7816 |
61
- | 0.3283 | 6.98 | 75 | 0.6002 | 0.8161 |
62
- | 0.2221 | 8.0 | 86 | 0.5427 | 0.8391 |
63
- | 0.3835 | 8.93 | 96 | 0.5764 | 0.7931 |
64
- | 0.2604 | 9.95 | 107 | 0.7187 | 0.7126 |
65
- | 0.2842 | 10.98 | 118 | 0.6400 | 0.8046 |
66
- | 0.1638 | 12.0 | 129 | 0.4891 | 0.8391 |
67
- | 0.2011 | 12.93 | 139 | 0.6157 | 0.8161 |
68
- | 0.1667 | 13.95 | 150 | 0.5799 | 0.8046 |
69
- | 0.1711 | 14.98 | 161 | 0.7119 | 0.7701 |
70
- | 0.179 | 16.0 | 172 | 0.7303 | 0.7701 |
71
- | 0.1221 | 16.93 | 182 | 0.6209 | 0.8161 |
72
- | 0.1055 | 17.95 | 193 | 0.6667 | 0.8046 |
73
- | 0.1023 | 18.98 | 204 | 0.3990 | 0.8736 |
74
- | 0.1546 | 20.0 | 215 | 0.4699 | 0.8506 |
75
- | 0.0895 | 20.93 | 225 | 0.4024 | 0.8966 |
76
- | 0.0815 | 21.95 | 236 | 0.4166 | 0.8736 |
77
- | 0.0691 | 22.98 | 247 | 0.5295 | 0.8621 |
78
- | 0.0821 | 24.0 | 258 | 0.5359 | 0.8391 |
79
- | 0.1286 | 24.93 | 268 | 0.4657 | 0.8851 |
80
- | 0.0523 | 25.95 | 279 | 0.4145 | 0.8621 |
81
- | 0.0711 | 26.98 | 290 | 0.3788 | 0.8966 |
82
- | 0.0546 | 28.0 | 301 | 0.3526 | 0.9080 |
83
- | 0.0846 | 28.93 | 311 | 0.2510 | 0.9425 |
84
- | 0.0503 | 29.77 | 320 | 0.4094 | 0.8621 |
85
 
86
 
87
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.6986
21
  - Accuracy: 0.8621
22
 
23
  ## Model description
 
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
+ - learning_rate: 0.0001
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
 
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 8
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
+ | 2.0125 | 0.93 | 10 | 1.7330 | 0.3678 |
56
+ | 1.4438 | 1.95 | 21 | 1.4018 | 0.6552 |
57
+ | 1.0862 | 2.98 | 32 | 1.0609 | 0.7701 |
58
+ | 0.8369 | 4.0 | 43 | 0.8816 | 0.8736 |
59
+ | 0.7183 | 4.93 | 53 | 0.8076 | 0.8046 |
60
+ | 0.5529 | 5.95 | 64 | 0.7125 | 0.8506 |
61
+ | 0.4963 | 6.98 | 75 | 0.7001 | 0.8736 |
62
+ | 0.4974 | 7.44 | 80 | 0.6986 | 0.8621 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a47fb9653e4f71d4cdffc985ef1f39ec03bef03cde89229fc7a54e87a4f92490
3
  size 343239356
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:006be77ff951c176d683db540b24916bf23487d3e355cb4778be0057e9766cd3
3
  size 343239356
runs/Mar11_11-08-47_33467ebf2898/events.out.tfevents.1710155328.33467ebf2898.370.13 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:762a9e1aaeefed6a01da9e24f5b2b14ea4a6e84584d8a9a3398123f86cf47d6b
3
- size 8474
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93adba9dbf27ee19dafe9fc874e972aff65892936097c76e3eb70d8f19905b7a
3
+ size 9346