Commit
•
62b6169
1
Parent(s):
731fe29
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,16 +5,16 @@ TestCodeo - GoCodeo's fine-tuned Language Model dedicated to Python unit test ge
|
|
| 5 |
|
| 6 |
www.gocodeo.com
|
| 7 |
|
| 8 |
-
Approach
|
| 9 |
Our team curated a unique dataset of 200,000 prompt-completion pairs in alpaca format, specifically designed for Python unit test generation.
|
| 10 |
|
| 11 |
-
Two-Stage Finetuning Process
|
| 12 |
Stage 1: We fine-tuned the base Codellama 7B Python model with 25k easy and 75k medium instructions.
|
| 13 |
|
| 14 |
Stage 2: The resulting Test-Codeo-Base was further refined with the remaining medium-hard questions to develop TestCodeo.
|
| 15 |
|
| 16 |
-
Evaluation Methodology
|
| 17 |
Utilizing OpenAI's human eval dataset, we generated test cases for 164 coding instructions and measured code coverage.
|
| 18 |
|
| 19 |
-
Results
|
| 20 |
TestCodeo achieved an impressive 89% code coverage, surpassing Codellama's 17% and approaching GPT-3.5-turbo's 93%.
|
|
|
|
| 5 |
|
| 6 |
www.gocodeo.com
|
| 7 |
|
| 8 |
+
### Approach
|
| 9 |
Our team curated a unique dataset of 200,000 prompt-completion pairs in alpaca format, specifically designed for Python unit test generation.
|
| 10 |
|
| 11 |
+
### Two-Stage Finetuning Process
|
| 12 |
Stage 1: We fine-tuned the base Codellama 7B Python model with 25k easy and 75k medium instructions.
|
| 13 |
|
| 14 |
Stage 2: The resulting Test-Codeo-Base was further refined with the remaining medium-hard questions to develop TestCodeo.
|
| 15 |
|
| 16 |
+
### Evaluation Methodology
|
| 17 |
Utilizing OpenAI's human eval dataset, we generated test cases for 164 coding instructions and measured code coverage.
|
| 18 |
|
| 19 |
+
### Results
|
| 20 |
TestCodeo achieved an impressive 89% code coverage, surpassing Codellama's 17% and approaching GPT-3.5-turbo's 93%.
|