arunboss commited on
Commit
2a2809b
1 Parent(s): 1f6e29b

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -5
README.md CHANGED
@@ -7,6 +7,8 @@ metrics:
7
  model-index:
8
  - name: test_triage
9
  results: []
 
 
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,22 +16,22 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # test_triage
16
 
17
- 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 None dataset.
18
  It achieves the following results on the evaluation set:
19
  - Loss: 1.9758
20
  - Accuracy: 0.5008
21
 
22
  ## Model description
23
 
24
- More information needed
25
 
26
  ## Intended uses & limitations
27
 
28
- More information needed
29
 
30
  ## Training and evaluation data
31
 
32
- More information needed
33
 
34
  ## Training procedure
35
 
@@ -64,4 +66,4 @@ The following hyperparameters were used during training:
64
  - Transformers 4.30.2
65
  - Pytorch 2.0.1+cu118
66
  - Datasets 2.13.1
67
- - Tokenizers 0.13.3
 
7
  model-index:
8
  - name: test_triage
9
  results: []
10
+ datasets:
11
+ - arunboss/test
12
  ---
13
 
14
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
16
 
17
  # test_triage
18
 
19
+ 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 Test dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 1.9758
22
  - Accuracy: 0.5008
23
 
24
  ## Model description
25
 
26
+ This is a basic skin disease recognition model without the specific disease information for now. I just wanted to test the platform for hosting capabilities and check other features.
27
 
28
  ## Intended uses & limitations
29
 
30
+ For now, its just a test environment. We have the basic pipeline of data & processing in place to push to this place. Future use will be to open source the dataset and allow the community to build and fine tune the skin identification and triging module for broader and free-for-all usage.
31
 
32
  ## Training and evaluation data
33
 
34
+ We have a lot of open & closed datasets that have been compiled over years and annotated.
35
 
36
  ## Training procedure
37
 
 
66
  - Transformers 4.30.2
67
  - Pytorch 2.0.1+cu118
68
  - Datasets 2.13.1
69
+ - Tokenizers 0.13.3