Hugging Face's logo

Hemg
/
Wound-classification

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Model card Files
xet
Metrics Community
Hemg commited on
Commit
567e2a2
·
verified ·
1 Parent(s): 19a3a1e

Model save

Browse files
Files changed (3) hide show
  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Mar20_06-50-10_d04eab29c3a2/events.out.tfevents.1710917411.d04eab29c3a2.379.5 +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: 0.2523
21
  - Accuracy: 0.9425
22
 
23
  ## Model description
@@ -52,22 +52,22 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
- | 1.2218 | 1.0 | 200 | 0.8285 | 0.745 |
56
- | 0.7855 | 2.0 | 400 | 0.7469 | 0.7525 |
57
- | 0.6213 | 3.0 | 600 | 0.5686 | 0.8025 |
58
- | 0.5695 | 4.0 | 800 | 0.5475 | 0.8225 |
59
- | 0.4172 | 5.0 | 1000 | 0.5988 | 0.825 |
60
- | 0.383 | 6.0 | 1200 | 0.4330 | 0.84 |
61
- | 0.271 | 7.0 | 1400 | 0.4766 | 0.845 |
62
- | 0.2281 | 8.0 | 1600 | 0.4235 | 0.87 |
63
- | 0.2283 | 9.0 | 1800 | 0.3102 | 0.91 |
64
- | 0.1632 | 10.0 | 2000 | 0.3234 | 0.9175 |
65
- | 0.1495 | 11.0 | 2200 | 0.4307 | 0.8925 |
66
- | 0.1504 | 12.0 | 2400 | 0.3205 | 0.92 |
67
- | 0.1372 | 13.0 | 2600 | 0.2476 | 0.9325 |
68
- | 0.0856 | 14.0 | 2800 | 0.3055 | 0.93 |
69
- | 0.0859 | 15.0 | 3000 | 0.2217 | 0.9375 |
70
- | 0.0682 | 16.0 | 3200 | 0.2523 | 0.9425 |
71
 
72
 
73
  ### 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: 0.2577
21
  - Accuracy: 0.9425
22
 
23
  ## Model description
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
+ | 1.1893 | 1.0 | 200 | 0.9100 | 0.69 |
56
+ | 0.7705 | 2.0 | 400 | 0.6857 | 0.785 |
57
+ | 0.6253 | 3.0 | 600 | 0.8546 | 0.7475 |
58
+ | 0.5491 | 4.0 | 800 | 0.4918 | 0.8275 |
59
+ | 0.4048 | 5.0 | 1000 | 0.4458 | 0.875 |
60
+ | 0.3637 | 6.0 | 1200 | 0.3289 | 0.895 |
61
+ | 0.263 | 7.0 | 1400 | 0.3888 | 0.86 |
62
+ | 0.2325 | 8.0 | 1600 | 0.4741 | 0.8875 |
63
+ | 0.196 | 9.0 | 1800 | 0.4416 | 0.8875 |
64
+ | 0.2049 | 10.0 | 2000 | 0.2791 | 0.92 |
65
+ | 0.1549 | 11.0 | 2200 | 0.2789 | 0.925 |
66
+ | 0.126 | 12.0 | 2400 | 0.2609 | 0.93 |
67
+ | 0.1378 | 13.0 | 2600 | 0.2549 | 0.935 |
68
+ | 0.0884 | 14.0 | 2800 | 0.3017 | 0.93 |
69
+ | 0.0907 | 15.0 | 3000 | 0.2586 | 0.93 |
70
+ | 0.0707 | 16.0 | 3200 | 0.2577 | 0.9425 |
71
 
72
 
73
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1a892f69214a7c9bfd95dd8da328f000abaf21976f65dd4a5c892b39d90ee792
3
  size 343248584
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29ea5127094736d03626644a6e130a82c24c6937c9a904ea65bb19e4f1e99f84
3
  size 343248584
runs/Mar20_06-50-10_d04eab29c3a2/events.out.tfevents.1710917411.d04eab29c3a2.379.5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7bb7db198ba1bcb4f183f38595d85c63f5aafa04d44792e11bf7e805781e7403
3
- size 11895
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a3573ad9b81beec08a9b5d4df387ecd593623d450fea1a1a301ee191eecf89f
3
+ size 13851