Update README.md
Browse files
README.md
CHANGED
@@ -116,7 +116,9 @@ When testing, the prompt prefix is added to tell the model what role it is and w
|
|
116 |
|
117 |
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
118 |
|
119 |
-
Success compilation rate:
|
|
|
|
|
120 |
|
121 |
### Results
|
122 |
|
@@ -133,7 +135,7 @@ This model is expected to output the LaTeX code output related to the `pgfplots`
|
|
133 |
|
134 |
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
135 |
|
136 |
-
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute)
|
137 |
|
138 |
- **Hardware Type:** Nvidia A100 80G
|
139 |
- **Hours used:** 1h = 10min training + 50min testing
|
|
|
116 |
|
117 |
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
118 |
|
119 |
+
Success compilation rate:
|
120 |
+
$$\frac{\text{\#Success compilation}}{\text{\#Total compilation}}\times 100\%$$
|
121 |
+
The uncessful compilation is rather LaTeX failure or the timeout case (compilation time > 20s).
|
122 |
|
123 |
### Results
|
124 |
|
|
|
135 |
|
136 |
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
137 |
|
138 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute).
|
139 |
|
140 |
- **Hardware Type:** Nvidia A100 80G
|
141 |
- **Hours used:** 1h = 10min training + 50min testing
|