gabrielgh commited on
Commit
2207de7
1 Parent(s): 994b689

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -14
README.md CHANGED
@@ -5,7 +5,7 @@ tags: []
5
 
6
  # Model Card for mAInframer-1
7
 
8
- Bloob model for auto-complete in the Cobol programming language.
9
 
10
  ## Model Details
11
 
@@ -13,15 +13,12 @@ Bloob model for auto-complete in the Cobol programming language.
13
 
14
  mAInframer is a series of models with different parameter counts: 7b, 13b, 34b.
15
 
16
- These models are pretrained on code (Codellama base models) and fine-tuned on Cobol code.
17
 
18
 
19
- - **Developed by: Bloop**
20
- - **Finetuned from model: Codellama**
21
-
22
  ## Uses
23
 
24
- This model can be used for code completion and fill-in-the middle (Cobol).
25
 
26
  ## How to Get Started with the Model
27
 
@@ -121,7 +118,7 @@ Result:
121
 
122
  Follow the format: `<PRE>prefix<SUF>suffix<MID>`
123
 
124
- To complete `PROCEDURE DIVISION` and infill `WORKING STORAGE SECTION.` to solve [CobolEval](https://github.com/BloopAI/COBOLEval) problems:
125
 
126
  ```python
127
  prompt = '''<PRE> IDENTIFICATION DIVISION.
@@ -197,16 +194,12 @@ Result:
197
 
198
  ## Training Details
199
 
200
- Base model: Codellama
201
  Finetuning type: LoRA
202
 
203
- ### Training Data
204
-
205
- Stack-v2(Cobol) + Stack Overflow (Cobol) + Web scraped Cobol + Synthetic Cobol data
206
-
207
- #### Metrics
208
 
209
- [CobolEval](https://github.com/BloopAI/COBOLEval) is an adaptation of HumanEval where the problems are translated to Cobol.
210
 
211
  | **Model** | CobolEval (pass@1) |
212
  |----------------------|--------------------|
 
5
 
6
  # Model Card for mAInframer-1
7
 
8
+ LLM for the COBOL programming language.
9
 
10
  ## Model Details
11
 
 
13
 
14
  mAInframer is a series of models with different parameter counts: 7b, 13b, 34b.
15
 
16
+ These models are pretrained on code (CodeLlama base models) and fine-tuned on COBOL code.
17
 
18
 
 
 
 
19
  ## Uses
20
 
21
+ This model can be used for code completion and fill-in-the middle (COBOL).
22
 
23
  ## How to Get Started with the Model
24
 
 
118
 
119
  Follow the format: `<PRE>prefix<SUF>suffix<MID>`
120
 
121
+ To complete `PROCEDURE DIVISION` and infill `WORKING STORAGE SECTION.` to solve [COBOLEval](https://github.com/BloopAI/COBOLEval) problems:
122
 
123
  ```python
124
  prompt = '''<PRE> IDENTIFICATION DIVISION.
 
194
 
195
  ## Training Details
196
 
197
+ Base model: CodeLlama
198
  Finetuning type: LoRA
199
 
200
+ ### Metrics
 
 
 
 
201
 
202
+ [COBOLEval](https://github.com/BloopAI/COBOLEval) is an adaptation of HumanEval where the problems are translated to COBOL.
203
 
204
  | **Model** | CobolEval (pass@1) |
205
  |----------------------|--------------------|