Update README.md
Browse files
README.md
CHANGED
|
@@ -1,35 +1,80 @@
|
|
| 1 |
---
|
| 2 |
-
language:
|
| 3 |
-
|
| 4 |
tags:
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
|
|
|
|
|
|
|
|
|
| 9 |
license: mit
|
| 10 |
datasets:
|
| 11 |
-
|
| 12 |
-
|
|
|
|
|
|
|
|
|
|
| 13 |
model-index:
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
---
|
| 30 |
|
| 31 |
|
| 32 |
|
|
|
|
|
|
|
| 33 |
# Jaleah AI Code Generation Model
|
| 34 |
|
| 35 |
## Model Description
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- code
|
| 4 |
tags:
|
| 5 |
+
- code-generation
|
| 6 |
+
- ai-assistant
|
| 7 |
+
- code-completion
|
| 8 |
+
- python
|
| 9 |
+
- machine-learning
|
| 10 |
+
- transformer
|
| 11 |
+
- gpt
|
| 12 |
license: mit
|
| 13 |
datasets:
|
| 14 |
+
- github-code
|
| 15 |
+
- stackoverflow
|
| 16 |
+
- synthetic-code
|
| 17 |
+
library_name: transformers
|
| 18 |
+
pipeline_tag: text-generation
|
| 19 |
model-index:
|
| 20 |
+
- name: Jaleah AI Code Generator
|
| 21 |
+
results:
|
| 22 |
+
- task:
|
| 23 |
+
type: text-generation
|
| 24 |
+
name: Code Generation
|
| 25 |
+
dataset:
|
| 26 |
+
name: Multi-Source Python Code Corpus
|
| 27 |
+
type: mixed
|
| 28 |
+
metrics:
|
| 29 |
+
- type: code-generation
|
| 30 |
+
name: Code Generation Score
|
| 31 |
+
value: experimental
|
| 32 |
+
- type: syntax-correctness
|
| 33 |
+
name: Syntax Correctness Rate
|
| 34 |
+
value: high
|
| 35 |
+
- type: contextual-relevance
|
| 36 |
+
name: Contextual Relevance
|
| 37 |
+
value: moderate
|
| 38 |
+
parameters:
|
| 39 |
+
max_length:
|
| 40 |
+
default: 200
|
| 41 |
+
range:
|
| 42 |
+
- 50
|
| 43 |
+
- 500
|
| 44 |
+
temperature:
|
| 45 |
+
default: 0.7
|
| 46 |
+
range:
|
| 47 |
+
- 0.1
|
| 48 |
+
- 1.0
|
| 49 |
+
top_k:
|
| 50 |
+
default: 50
|
| 51 |
+
range:
|
| 52 |
+
- 1
|
| 53 |
+
- 100
|
| 54 |
+
top_p:
|
| 55 |
+
default: 0.95
|
| 56 |
+
range:
|
| 57 |
+
- 0.1
|
| 58 |
+
- 1.0
|
| 59 |
+
model_type: causal
|
| 60 |
+
architectures:
|
| 61 |
+
- GPTNeoForCausalLM
|
| 62 |
+
training_config:
|
| 63 |
+
base_model: microsoft/CodeGPT-small-py
|
| 64 |
+
training_objective: causal-language-modeling
|
| 65 |
+
compute_environment:
|
| 66 |
+
- gpu
|
| 67 |
+
- cloud
|
| 68 |
+
training_time: ~3 hours
|
| 69 |
+
hardware:
|
| 70 |
+
- cuda
|
| 71 |
+
- t4-gpu
|
| 72 |
---
|
| 73 |
|
| 74 |
|
| 75 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
# Jaleah AI Code Generation Model
|
| 79 |
|
| 80 |
## Model Description
|