keerthikoganti commited on
Commit
bbf3432
·
verified ·
1 Parent(s): 10d797d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -9
README.md CHANGED
@@ -43,12 +43,6 @@ Curating datasets of process images for research on studio workflows
43
 
44
  Searching/filtering large archives by stage
45
 
46
- ### Downstream Use [optional]
47
-
48
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
-
50
- [More Information Needed]
51
-
52
  ### Out-of-Scope Use
53
 
54
  <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
@@ -115,15 +109,14 @@ print(IDX2LABEL[pred_idx], probs[pred_idx])
115
 
116
  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
117
 
118
- [More Information Needed]
119
-
120
  ### Training Procedure
121
 
122
  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
123
 
124
  #### Training Hyperparameters
125
 
126
- - **Training regime:** Framework: PyTorch
 
127
 
128
  Backbone: Compact CNN (e.g., MobileNetV3-Small or custom ~1–3M params)
129
 
 
43
 
44
  Searching/filtering large archives by stage
45
 
 
 
 
 
 
 
46
  ### Out-of-Scope Use
47
 
48
  <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
109
 
110
  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
111
 
 
 
112
  ### Training Procedure
113
 
114
  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
115
 
116
  #### Training Hyperparameters
117
 
118
+ - **Training regime:**
119
+ Framework: PyTorch
120
 
121
  Backbone: Compact CNN (e.g., MobileNetV3-Small or custom ~1–3M params)
122